[Oct 04, 2023] 1z0-1091-22 Exam Dumps - Oracle Practice Test Questions
New Real 1z0-1091-22 Exam Dumps Questions
Oracle 1z0-1091-22 certification exam is designed to test the candidate's knowledge of the Oracle Utilities Meter Solution Cloud Service 2022, including its architecture, installation, configuration, and customization. 1z0-1091-22 exam consists of 60 multiple-choice questions that must be completed within 105 minutes. Candidates must score at least 65% to pass the exam and obtain the Oracle Utilities Meter Solution Cloud Service 2022 Implementation Professional certification.
NEW QUESTION # 21
For a Meter Data Management (MDM) implementation, a customer requires specific bill determinants along with bill determinant calculation validations to be executed, before the determinant values are exported to their customer information system (CIS).
Which THREE factors should you consider while configuring usage calculation groups?
- A. CIS rates, that MDM bill determinants or the usage process are expected to support
- B. Device subscriptions
- C. Bill determinants or usage validations
- D. Type of measurement (interval or scalar) data that needs to be used for bill determinants or usage calculation
- E. Bill determinants or usage calculations
Answer: A,C,D
Explanation:
Explanation
Usage calculation groups are used to define how usage data are calculated, validated, and exported for different purposes, such as billing, settlement, or analysis. Usage calculation groups can have different components that specify the logic and parameters for performing various operations on usage data. According to the Oracle Utilities Meter Data Management Business User Guide, some examples of components that can be configured in usage calculation groups are:
* CIS rates: These are rate schedules that are defined in the customer information system (CIS) and imported into Oracle Utilities Meter Data Management. CIS rates can be used to specify which bill determinants or usage calculations should be applied for different rate schedules or customer classes.
* Bill determinants or usage validations: These are rules that check the quality or accuracy of usage data and assign condition codes or flags to indicate any issues or errors. Bill determinants or usage validations can be used to ensurethat usage data meet certain criteria or standards before they are exported to CIS or other systems.
* Bill determinants or usage calculations: These are rules that perform various calculations or adjustments on usage data, such as dividing usage into time-of-use periods, applying factors or multipliers, or deriving net usage. Bill determinants or usage calculations can be used to generate different types of bill determinants for billing purposes.
References: Oracle Utilities Meter Data Management Business User Guide, Chapter 8: Usage, Section 8.2:
Usage Calculation Groups
NEW QUESTION # 22
When used with the SaaS Cloud services, the Oracle Smart Grid Gateway (SGG) adapters process usage and device event payloads via batch processing. Files are sent from a head-end system (HES) to an Oracle Cloud Object Storage location, where they are batch processed.
Which THREE operations are performed by the SGG processes?
- A. Load reads into a file directory.
- B. Load reads into Object Storage.
- C. Parse payload into individual usage readings/device events.
- D. Invoke IMD/Device Event Seeder (as appropriate).
- E. Transform usage readings into standard (unified) format.
Answer: C,D,E
Explanation:
Explanation
In a SaaS environment, Oracle Utilities Meter Data Management and Smart Grid Gateway are deployed on Oracle Cloud Infrastructure (OCI) and use OCI Object Storage to store files and data. OCI Object Storage is a scalable and secure service that allows users to store and access data from anywhere using REST APIs or web consoles. Smart Grid Gateway adapters process usage and device event payloads via batch processing. Files are sent from a head-end system (HES) to an OCI Object Storage location, where they are batch processed.
According to the Oracle Utilities Smart Grid Gateway User Guide, some operations that are performed by the Smart Grid Gateway processes are:
* Parse payload into individual usage readings/device events. This is an operation that extracts usage readings or device events from the payload file and converts them into individual records.
* Invoke IMD/Device Event Seeder (as appropriate). This is an operation that invokes a web service that sends usage readings or device events to Oracle Utilities Meter Data Management for further processing.
* Transform usage readings into standard (unified) format. This is an operation that converts usage readings from vendor-specific formats into a standard format that can be processed by Oracle Utilities Meter Data Management.
References: Oracle Utilities Smart Grid Gateway User Guide, Chapter 4: Commands, Section 4.4: Command Configuration; Chapter 5: Device Events; Chapter 6: Usage
NEW QUESTION # 23
You need to set up a configuration that allows service points to be used with various meters. This configuration should support interval, time of use, and scalar devices.
How would you meet this requirement?
- A. Configure one service point type and three device types, and then configure the three valid device types on the service point type.
- B. Configure three service points and set any one of the three devices to be related to the service point as required by the data scenarios.
- C. Configure one service paint, one device, and three measuring components to be related to the service point as required by the data scenarios.
- D. Configure one service point, three devices, and set any one of the three devices to be related to the service point as required by the data scenarios.
Answer: C
Explanation:
Explanation
A service point is a record that represents a physical location where a utility provides service to a customer. A service point can have one or more devices associated with it to measure the usage of the service. A device is a record that represents a physical meter or other equipment that records usage data. A device can have one or more measuring components associated with it to represent different types of usage data, such as interval, time of use, or scalar. According to the Oracle Utilities Meter Data Management Business User Guide, to set up a configuration that allows service points to be used with various meters and support interval, time of use, and scalar devices, one way to meet this requirement is:
* Configure one service point, one device, and three measuring components to be related to the service point as required by the data scenarios. This can be done by creating a service point record and associating it with a device record that represents the meter. Then, creating three measuring component records that represent different types of usage data (interval, time of use, and scalar) andassociating them with the device record. Depending on the data scenarios, different measuring components can be used to collect and process usage data for the service point.
References: Oracle Utilities Meter Data Management Business User Guide, Chapter 3: Asset Management, Section 3.1: Service Points; Section 3.3: Devices; Section 3.5: Measuring Components
NEW QUESTION # 24
From where is the final measurement condition code created?
- A. Pre-VEE condition code
- B. Post-VEE condition code
- C. Raw condition code
- D. Condition code sent from head-end system (HES)
Answer: B
Explanation:
Explanation
Measurement condition codes are codes that indicate the quality or status of measurement data, such as raw, estimated, edited, validated, or final. Measurement condition codes are assigned at different stages of processing measurement data and can affect how measurement data are used for billing or analysis purposes.
According to the Oracle Utilities Meter Data Management Business User Guide, the final measurement condition code is created from:
* Post-VEE condition code: This is the condition code that is assigned after validation, estimation, and editing (VEE) processing has been performed on measurement data. VEE processing is a set of rules and algorithms that check and correct measurement data for any gaps, errors, or anomalies. The post-VEE condition code reflects the outcome of VEE processing and determines whether measurement data are ready for export or further processing.
References: Oracle Utilities Meter Data Management Business User Guide, Chapter 7: Measurements, Section
7.2: Measurement Condition Codes
NEW QUESTION # 25
In SaaS, which THREE configuration steps would you perform to convert natural gas volume to energy at the measuring component level?
- A. Configure a value derivation algorithm by using Java.
- B. Configure a value derivation algorithm by using Groovy.
- C. Create value identifiers far the energy UOM on the measuring component type.
- D. Create value identifiers far the energy Unit of Measure (UOM) on the device.
- E. Set up a factor to hold the conversion values.
Answer: B,C,E
Explanation:
Explanation
To convert natural gas volume to energy at the measuring component level, you should perform the following configuration steps:
* Set up a factor to hold the conversion values: A factor is a value that is used to adjust or convert measurements based on certain criteria. You need to set up a factor to hold the conversion values that are used to convert natural gas volume to energy. For example, you can set up a factor that holds the heating value of natural gas in different units of measure (UOM).
* Configure a value derivation algorithm by using Groovy: A value derivation algorithm is a rule that is used to calculate derived values from raw measurements based on certain factors or formulas. You need to configure a value derivation algorithm by using Groovy scripting language to define how natural gas volume is converted to energy by applying the conversion factor.
* Create value identifiers for the energy UOM on the measuring component type: A value identifier is an attribute that is used to store measurement or derived values in different UOMs. You need to create value identifiers for the energy UOM on the measuring component type that is used for natural gas devices. For example, you can create value identifiers for energy in British thermal units (BTU) or kilowatt-hours (kWh).
You do not need to create value identifiers for the energy UOM on the device, which is an instance of a device type that is installed at a service point. Value identifiers are defined at the measuring component type level, not at the device level.
You do not need to configure a value derivation algorithm by using Java, which is a programming language that is used to develop custom applications or extensions. Value derivation algorithms are configured by using Groovy scripting language, not Java.
NEW QUESTION # 26
Service Order Management is used to orchestrate service order processes such as Enable Service and Disable Service.
Which Oracle Utilities Application Framework (OUAF) admin data should be created for a custom Service Order Management process?
- A. Device event type
- B. Activity type
- C. Device type
- D. Consumer contract type
Answer: B
Explanation:
Explanation
An activity type is an Oracle Utilities Application Framework (OUAF) admin data that should be created for a custom Service Order Management process. An activity type defines the type of work that needs to be performed on a service point or device, such as enable service or disable service. An activity type also defines the following attributes:
* The status and priority of the activity
* The business object and algorithm that are used to process the activity
* The fields and validations that are required for the activity
* The notifications and escalations that are triggered by the activity
* The dependencies and relationships that exist between different activities An activity type is used to create and manage service orders, which are records that store the details and outcomes of the work performed on a service point or device.
NEW QUESTION # 27
Which THREE commands are supported by the Smart Grid Gateway (SGG) adapters?
- A. Disconnect service at pole
- B. Ping meter
- C. Request outage information
- D. Connect
- E. On-demand reading
Answer: B,D,E
Explanation:
Explanation
Smart Grid Gateway (SGG) is a product that provides integration between Oracle Utilities Meter Data Management and various head-end systems that communicate with smart meters. SGG supports different types of commands that can be sent to smart meters to perform various actions, such as reading, pinging, connecting, or disconnecting. According to the Oracle Utilities Smart Grid Gateway User Guide, some examples of commands that are supported by the SGG adapters are:
* On-demand reading: This is a command that requests a smart meter to send its current or historical usage data to the head-end system. On-demand reading can be used for billing purposes or for verifying meter readings.
* Ping meter: This is a command that tests the communication between the head-end system and the smart meter. Ping meter can be used for troubleshooting purposes or for checking meter status.
* Connect: This is a command that enables the service at a smart meter. Connect can be used for activating service for a new customer or for restoring service after a payment.
References: Oracle Utilities Smart Grid Gateway User Guide, Chapter 4: Commands, Section 4.1: Command Types
NEW QUESTION # 28
Which THREE are derived values?
- A. Comparison of normal versus actual usage.
- B. Value converted from one unit of measurement to another.
- C. Estimated value if the final measurement is too low or high.
- D. Value with a factor such as line loss applied.
- E. Interval data values created by "intervalizing" a scalar reading by applying a profile to it.
Answer: B,D,E
Explanation:
Explanation
Derived values are values that are calculated from raw measurements based on certain rules or factors. Derived values can be used for different purposes, such as billing, analysis, or reporting. Some examples of derived values are:
* Value with a factor such as line loss applied: This is a value that is adjusted by applying a factor that accounts for the loss of energy or water during transmission or distribution. For example, a line loss factor can be applied to a meter reading to calculate the actual amount of energy or water that was delivered to a customer.
* Value converted from one unit of measurement to another: This is a value that is converted from one unit of measurement (UOM) to another based on a conversion factor. For example, a volume reading in cubic feet can be converted to a volume reading in gallons by multiplying it by a conversion factor.
* Interval data values created by "intervalizing" a scalar reading by applying a profile to it: This is a value that is created by dividing a scalar reading into smaller time intervals based on a profile that represents the usage pattern of a customer. For example, a daily scalar reading can be intervalized into hourly readings by applying a load profile that reflects the customer's hourly usage.
Estimated value if the final measurement is too low or high is not a derived value, but an estimated value.
Estimated values are values that are generated when raw measurements are missing or invalid based on certain criteria. Estimated values can be based on historical data, statistical methods, or other sources.
Comparison of normal versus actual usage is not a derived value, but an analysis result. Analysis results are values that are calculated by comparing or aggregating measurements or derived values for different purposes, such as revenue protection, load research, or customer engagement.
NEW QUESTION # 29
Which statement is true about usage transaction?
- A. It is created by an external source or MDM, which uses the usage calculation engine to generate a final value. VEE can be configured and usage transaction is saved.
- B. It is created by an external source or Meter Data Management (MDM), which uses the usage calculation engine to generate usage values.
- C. It is created by an external source or MDM, which uses the usage calculation engine to generate a final value. Valuation, Estimation, and Editing (VEE) can be configured but when called in real time, usage transaction may not be saved.
- D. It must be created by an external system and it must be stored in the database.
Answer: A
Explanation:
Explanation
A usage transaction is a record that stores the usage information for a usage subscription. A usage transaction can be created by an external source or MDM, which uses the usage calculation engine to generate a final value. VEE can be configured and usage transaction is saved.
It is not true that a usage transaction is created by an external source or MDM, which uses the usage calculation engine to generate usage values. Usage values are intermediate values that are used to calculate the final value.
It is not true that a usage transaction is created by an external source or MDM, which uses the usage calculation engine to generate a final value. VEE can be configured but when called in real time, usage transaction may not be saved. VEE can be configured and usage transaction is always saved.
It is not true that a usage transaction must be created by an external system and it must be stored in the database. A usage transaction can be created by MDM and it can be deleted from the database.
NEW QUESTION # 30
How do you calculate the power factor for a bill?
- A. Use a virtual meter to perform the calculations.
- B. Use the Vector and Quantity Math rule to derive the power factor from the kWh and kVArh channels.
- C. Use a measuring component derivation algorithm to calculate the power factor.
- D. Power factor can only come from the meter and cannot be calculated.
Answer: B
Explanation:
Explanation
To calculate the power factor for a bill, you can use the Vector and Quantity Math rule to derive the power factor from the kWh and kVArh channels. The Vector and Quantity Math rule is a usage calculation rule that facilitates the configuration of complex vector calculations. It is based on a series of underlying services with vectors configured as input to the calculations. The power factor is a ratio of real power (kWh) to apparent power (kVAh) that indicates how efficiently a device uses electricity. The power factor can be derived from the kWh and kVArh channels by using a mathematical formula.
You do not need to use a virtual meter to perform the calculations, which is a configuration that defines how measurements from multiple devices or service points are aggregated or disaggregated. A virtual meter is not used to calculate derived values from measurements, but to create new measurements from existing ones.
You do not need to use a measuring component derivation algorithm to calculate the power factor, which is a custom logic that can be developed by using Groovy scripting language or Java programming language. A measuring component derivation algorithm is not used to calculate derived values from measurements, but to create new measuring components from existing ones.
It is not true that power factor can only come from the meter and cannot be calculated. Power factor can be calculated from other measurement channels, such as kWh and kVArh, by using usage calculation rules.
NEW QUESTION # 31
Which THREE features should you set up in the Cloud Service Payload Processing configuration?
- A. Key rings and key pairs
- B. File system directory SFTP setup
- C. Object Storage locations
- D. Head-end systems (HES)
Answer: A,B,C
Explanation:
Explanation
To set up the Cloud Service Payload Processing configuration, you should perform the following steps:
* File system directory SFTP setup: This is used to configure the secure file transfer protocol (SFTP) settings for transferring files between Oracle Utilities Smart Grid Gateway and Oracle Utilities Meter Data Management. You need to specify the SFTP host name, port number, user name, password, and directory path for inbound and outbound files.
* Key rings and key pairs: This is used to configure the encryption and decryption settings for payload files. You need to create key rings and key pairs for each communication type and associate them with message senders and receivers.
* Object Storage locations: This is used to configure the object storage settings for storing payload files in Oracle Cloud Infrastructure. You need to specify the object storage URL, bucket name, user name, password, and encryption key for each communication type.
You do not need to set up head-end systems (HES), which are external systems that communicate with smart meters and devices. Head-end systems are configured in Oracle Utilities Smart Grid Gateway, not in Oracle Utilities Meter Data Management.
NEW QUESTION # 32
Oracle Utilities Meter Data Management (MDM) DataConnect facilitates extraction of data for use in external applications such as energy management systems.
Which TWO can you export in the MDM version of DataConnect?
- A. Service points and install events
- B. Billing determinants
- C. Usage measurement data
- D. Configuration data
- E. Device events
Answer: B,C
Explanation:
Explanation
Oracle Utilities Meter Data Management (MDM) DataConnect is a feature that facilitates extraction of data for use in external applications such as energy management systems. According to the Oracle Utilities Meter Data Management Business User Guide, some examples of data that can be exported in the MDM version of DataConnect are:
* Billing determinants: These are usage data that have been divided into time-of-use periods and applied with factors for billing purposes. Billing determinants can be exported to a billing system or a customer information system for generating bills or invoices.
* Usage measurement data: These are raw or processed interval data that have been recorded by smart meters or other devices. Usage measurement data can be exported to an analytics system or a demand response system for analysis or optimization.
References: Oracle Utilities Meter Data Management Business User Guide, Chapter 9: Communications, Section 9.4: DataConnect
NEW QUESTION # 33
In which THREE situations would you use a dynamic option?
- A. The scalar meter-read download process creates an activity each time a scalar measuring component is scheduled to be read.
- B. The utility has a program that credits customers for conservation during critical peak periods.
- C. An option is specified on a service point to allow Validation, Estimation, and Editing (VEE) processing to dynamically invoke a group of VEE rules depending on a characteristic.
- D. A consumer receives credit for consumption during a critical peak period (CPP) event that is lower than their "normal* consumption.
- E. The utility has a program where customers can optionally participate in demand response (DR) programs.
Answer: B,C,E
Explanation:
Explanation
A dynamic option is an option that is assigned to an entity at run time based on a characteristic value. Dynamic options are used to provide flexibility and customization for different scenarios. According to the Oracle Utilities Meter Solution Cloud Service Business User Guide, some examples of dynamic options are:
* The utility has a program where customers can optionally participate in demand response (DR) programs. A dynamic option is specified on a usage subscription to allow different DR programs to be applied depending on a characteristic value such as customer class or rate schedule.
* An option is specified on a service point to allow Validation, Estimation, and Editing (VEE) processing to dynamically invoke a group of VEE rules depending on a characteristic. For example, if the service point has a characteristic indicating that it is part of a net metering program, then a different set of VEE rules may be applied than for a regular service point.
* The utility has a program that credits customers for conservation during critical peak periods. A dynamic option is specified on a usage subscription to allow different credit calculations to be applied
* depending on a characteristic value such as customer class or rate schedule.
References: Oracle Utilities Meter Solution Cloud Service Business User Guide, Chapter 2: Options and Characteristics, Section 2.1: Options
NEW QUESTION # 34
Why would you use an eligibility criteria in usage subscription?
- A. To configure an optional usage calculation rule within a usage calculation group for the usage.
- B. To determine whether a usage subscription generates a usage transaction.
- C. To configure an optional validation group within a usage subscription.
- D. To configure an optional usage group within a usage subscription.
Answer: B
Explanation:
Explanation
A usage subscription is a record that defines how usage data are collected, processed, and exported for a service point or a device. A usage subscription can have various components that specify the logic and parameters for performing various operations on usage data, such as validation, estimation, editing, calculation, or export. According to the Oracle Utilities Meter Data Management Business User Guide, one example of a component that can be configured in a usage subscription is:
* Eligibility criteria: These are rules that determine whether a usage subscription generates a usage transaction or not. A usage transaction is a record that contains usage data that are ready for export to other systems, such as customer information system (CIS) or settlement system. Eligibility criteria can be used to filter out usage subscriptions that do not meet certain conditions or requirements for generating usage transactions.
References: Oracle Utilities Meter Data Management Business User Guide, Chapter 8: Usage, Section 8.1:
Usage Subscriptions
NEW QUESTION # 35
The interval proxy day estimation Validation, Estimation, and Editing (VEE) rule estimates missing intervals by selecting interval data to average from a list of days that are most like the day being estimated. This is achieved by measuring the component comparison periods.
What is used to define the proxy?
- A. Neighbor
- B. Customer class profile
- C. Weather data
- D. Like premise
Answer: C
Explanation:
Explanation
The interval proxy day estimation VEE rule is a rule that estimates missing intervals by selecting interval data to average from a list of days that are most like the day being estimated. This is achieved by measuring the component comparison periods, which are periods of time that are used to compare different days based on certain criteria. According to the Oracle Utilities Meter Data Management Business User Guide, one factor that is used to define the proxy or the list of days that are most like the day being estimated is:
* Weather data: This is data that indicates the temperature or other weather conditions for a given day.
Weather data can be used to select days that have similar weather patterns or variations as the day being estimated.
References: Oracle Utilities Meter Data Management Business User Guide, Chapter 8: Usage, Section 8.3:
Validation, Estimation, and Editing; Section 8.3.2: Interval Proxy Day Estimation
NEW QUESTION # 36
Dynamic aggregation uses dynamic queries for aggregation processes. These dynamic queries are based on the configuration of administrative data.
Which THREE statements are true about the dynamic aggregation main components?
- A. Measuring Component Sets define the dimensions and criteria by which aggregation is performed.
- B. Data sources store project-provided SQL for getting data.
- C. Aggregation Measuring Component Types define the most important properties of aggregation measuring components used for storing aggregated data.
- D. Aggregation Ordering Sets define the ordering of a series of related aggregations and the schedule of aggregation.
- E. Measuring Components, also known as aggregator MCs, represent "buckets" or unique combinations of dimension values.
Answer: A,B,E
Explanation:
Explanation
Dynamic aggregation is a feature that allows users to perform aggregation processes on usage data based on dynamic queries that are defined by administrative data. Dynamic aggregation can be used to generate aggregated usage data for different dimensions and criteria, such as customer class, rate schedule, or geographic area. According to the Oracle Utilities Meter Data Management Business User Guide, some examples of the main components of dynamic aggregation are:
* Measuring Component Sets: These define the dimensions and criteria by which aggregation is performed. Measuring Component Sets specify which characteristics and values should be used to group usage data for aggregation purposes.
* Measuring Components: These represent "buckets" or unique combinations of dimension values that are generated by Measuring Component Sets. Measuring Components store the aggregated usage data for each combination of dimension values.
* Data sources: These store project-provided SQL for getting data from different sources, such as usage subscriptions, measuring components, or virtual meters. Data sources specify which data should be used as input for aggregation processes.
References: Oracle Utilities Meter Data Management Business User Guide, Chapter 10: Aggregations, Section
10.2: Dynamic Aggregation
NEW QUESTION # 37
The Vector and Service Quantity Math usage rule facilitates the configuration of complex vector calculations.
It is based on a series of underlying services with vectors configured as input to the calculations.
What are THREE typical uses of the usage rule?
- A. Finding max values
- B. Converting interval data to scalar reads
- C. Performing math formulas on interval data
- D. Performing Array math
- E. Finding coincident peaks
Answer: C,D,E
Explanation:
Explanation
The Vector and Service Quantity Math usage rule facilitates the configuration of complex vector calculations.
It is based on a series of underlying services with vectors configured as input to the calculations. Some typical uses of the usage rule are:
* Finding coincident peaks: This is a calculation that finds the highest demand value for each interval across multiple service points or devices.
* Performing Array math: This is a calculation that performs arithmetic operations on arrays of interval data, such as addition, subtraction, multiplication, or division.
* Performing math formulas on interval data: This is a calculation that performs mathematical functions on interval data, such as logarithm, exponentiation, square root, or trigonometry.
Finding max values is not a typical use of the Vector and Service Quantity Math usage rule. Finding max values is a simple calculation that finds the highest demand value for each service point or device.
Converting interval data to scalar reads is not a typical use of the Vector and Service Quantity Math usage rule. Converting interval data to scalar reads is done by using other usage rules, such as Interval Data Scalar Read Rule.
NEW QUESTION # 38
Time-of-use (TOU) maps can be used by various functions in Meter Data Management (MDM). Which of the following is a typical scenario in which TOU maps are applied?
- A. To map usage data with geospatial applications.
- B. To initial measurement data (IMD) records for creating summarized TOU final measurements.
- C. To determine the time a user worked an an incorrect measurement.
- D. To usage transactions and final measurements for billing and analytical purposes.
Answer: D
Explanation:
Explanation
Time-of-use (TOU) maps can be used by various functions in Meter Data Management (MDM). A TOU map is a configuration that defines how interval measurements are converted into scalar measurements based on different TOU periods. A typical scenario in which TOU maps are applied is to usage transactions and final measurements for billing and analytical purposes. A usage transaction is a record that stores the bill determinants and other usage information for a usage subscription. A final measurement is a record that stores the measurement data that has been validated, edited, and estimated. TOU maps can be applied to usage transactions and final measurements to calculate bill determinants or perform analysis based on different TOU periods.
TOU maps are not applied to initial measurement data (IMD) records for creating summarized TOU final measurements. IMD records are records that store the raw measurement data that is received from smart meter systems or other sources. IMD records are not converted into final measurements by using TOU maps, but by using VEE rules.
TOU maps are not used to determine the time a user worked on an incorrect measurement, which is a function that is performed by using audit trails or logs. TOU maps are not used to map usage data with geospatial applications, which is a function that is performed by using location data or coordinates.
NEW QUESTION # 39
Which THREE are best practices for measurement retention?
- A. Keep scalar measurements in the customer read tables to stay consistent.
- B. Derive demand from interval data to prevent storing extra data.
- C. Use Information Lifecycle Management (ILM) processes to help archive data.
- D. Keep initial measurement data (IMD) for the same period of time as final measurements for cancel rebill purposes.
- E. Derive time-of-use (TOU) values with interval data to prevent storing extra data.
Answer: B,C,E
Explanation:
Explanation
Some of the best practices for measurement retention are:
* Derive time-of-use (TOU) values with interval data to prevent storing extra data: Time-of-use (TOU) values are scalar values that are calculated from interval data based on different TOU periods. Interval data is measurement data that is recorded at regular intervals, such as every 15 minutes or every hour.
To prevent storing extra data, you can derive TOU values with interval data instead of storing them separately.
* Derive demand from interval data to prevent storing extra data: Demand is a value that indicates the maximum power or load that is consumed or generated during a certain period. Demand can be calculated from interval data by using certain methods, such as block demand or rolling demand. To prevent storing extra data, you can derive demand from interval data instead of storing them separately.
* Use Information Lifecycle Management (ILM) processes to help archive data: Information Lifecycle Management (ILM) processes are features that enable MDM to manage the lifecycle of measurement data based on certain policies or rules. ILM processes can help archive data that is no longer needed or used by moving them to different storage tiers or deleting them.
You do not need to keep scalar measurements in the customer read tables to stay consistent, which are tables that store measurement data that is entered by customers or meter readers. Scalar measurements are measurement data that are recorded at certain events, such as billing cycle end or meter exchange. You can store scalar measurements in different tables based on their source or status.
You do not need to keep initial measurement data (IMD) for the same period of time as final measurements for cancel rebill purposes, which are records that store the raw measurement data that is received from smart meter systems or other sources. Final measurements are records that store the measurement data that has been validated, edited, and estimated. You can keep IMD for a shorter period of time than final measurements based on your business needs or requirements.
NEW QUESTION # 40
A small building with five metered apartments has common areas used by all residents. The common areas are metered separately, and the common usage needs to be spread evenly across residents.
How should you configure the solution to bill each resident accurately?
- A. Each apartment's usage subscriptions must have two service paints, one for the apartment and one for
20% of the common areas. - B. Calculate the usage for each apartment by using customer information system (CIS).
- C. Set up a virtual meter to include the apartment usage and 20% of the common areas.
- D. Use a derivation algorithm to include 20% of the common areas with the apartment accounts.
Answer: C
Explanation:
Explanation
To configure the solution to bill each resident accurately for a small building with five metered apartments and common areas, you should set up a virtual meter to include the apartment usage and 20% of the common areas. A virtual meter is a configuration that defines how measurements from multiple devices or service points are aggregated or disaggregated. A virtual meter can be used to create new measurements from existing ones based on certain rules or factors. By setting up a virtual meter to include the apartment usage and 20% of the common areas, you can ensure that each resident is billed for their own usage and their share of the common usage.
You do not need to set up each apartment's usage subscriptions to have two service points, one for the apartment and one for 20% of the common areas. A usage subscription is a relationship that defines the external system or service provider that will receive the bill determinants, the usage calculation group that will be used to calculate the bill determinants, and the service points that will provide the measurement data for the bill determinants. A usage subscription can have only one service point, not two.
You do not need to calculate the usage for each apartment by using customer information system (CIS), which is an external system that manages customer accounts and billing information. CIS does not calculate usage for each apartment, but receives bill determinants from MDM.
You do not need to use a derivation algorithm to include 20% of the common areas with the apartment accounts, which is a custom logic that can be developed by using Groovy scripting language or Java programming language. A derivation algorithm is not used to create new measurements from existing ones, but to create new measuring components from existing ones.
NEW QUESTION # 41
Which TWO functions can the service point-measurement cycle relationship of Meter Data Management (MDM) perform?
- A. Create optimal meter reader routes by measurement cycle.
- B. Initiate push of bill determinants ta subscribing systems.
- C. Create hand-held download read activities.
- D. Initiate request of bill determinants from subscribing systems.
Answer: B,D
Explanation:
Explanation
The service point-measurement cycle relationship of Meter Data Management (MDM) can perform the following functions:
* Initiate request of bill determinants from subscribing systems: A subscribing system is an external system or service provider that receives bill determinants from MDM. A bill determinant is a value that is used to calculate a bill for a service point or device. The service point-measurement cycle relationship can initiate a request of bill determinants from subscribing systems based on the measurement cycle schedule. A measurement cycle schedule defines the dates on which devices are scheduled to be read for a given measurement cycle. A measurement cycle defines the schedule for manual meter reading of devices at service points in that cycle.
* Initiate push of bill determinants to subscribing systems: The service point-measurement cycle relationship can also initiate a push of bill determinants to subscribing systems based on the measurement cycle schedule. This means that MDM can send bill determinants to subscribing systems automatically or on demand.
The service point-measurement cycle relationship cannot perform the following functions:
* Create optimal meter reader routes by measurement cycle: A meter reader route is a sequence of service points or devices that are assigned to a meter reader formanual meter reading. A meter reader route is not created by the service point-measurement cycle relationship, but by using other configurations, such as route type or route sequence.
* Create hand-held download read activities: A hand-held download read activity is an activity that downloads measurement data from a hand-held device to MDM. A hand-held download read activity is not created by the service point-measurement cycle relationship, but by using other configurations, such as activity type or activity status.
NEW QUESTION # 42
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