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Google Cloud Digital Leader Certification Exam is designed for individuals who are interested in establishing their expertise in the digital transformation domain. Cloud-Digital-Leader exam is designed to test the capability of an individual in developing and implementing digital strategies that can enhance business performance. Google Cloud Digital Leader certification exam is suitable for professionals who want to gain a strong understanding of the digital landscape and learn how to leverage digital technologies to drive business growth.
NEW QUESTION # 36
The CFO is attending one of the preliminary meetings in the migration strategy meeting. She brings up the concern about costs. They have contracts with their vendors and the payments they will need to make when purchasing any kind of infrastructure. This gives them a clear view of numbers for resource budgeting and planning. Can she get the same kind of clarity on Google Cloud?
- A. Yes. Do a trial run of typical workloads. See the billing amount and that becomes the base reference.
- B. Yes, the Cloud Native Computing Foundation publishes yearly numbers on the cost of running the cloud. Use that as a reference.
- C. Yes, Google provides a typical cost of application workloads by region and indus-try. Use that as a reference.
- D. Yes, the Pricing Calculator can be used to estimate the cost of resources.
Answer: D
Explanation:
The pricing calculator can be used to give clear estimates of resource usage.
-> Running test loads is as closely indicative as using the pricing calculator.
-> There are no cloud cost references published, either by Google or CNCF. Even if some companies have published such info. It might not apply to you.
Reference link:- https://cloud.google.com/products/calculator
NEW QUESTION # 37
A prospect wants to be able to store and analyze data. Their analysts already know SQL, but are not familiar with other technologies. Which of these databases can the analysts use without addi-tional training?
- A. Cloud SQL, Firestore, Datastore
- B. Cloud SQL, Bigtable, BigQuery
- C. Spanner, Cloud SQL, BigQuery
- D. Cloud SQL, BigQuery, Datastore
Answer: C
Explanation:
Explanation
Spanner, Cloud SQL, BigQuery
Spanner- Cloud Spanner is a fully managed, mission-critical, relational database service that offers transactional consistency at global scale, automatic, synchronous replication for high availability, and support for two SQL Google Standard SQL and PostgreSQL.
Cloud SQL- Cloud SQL is a fully-managed database service that helps you set up, maintain, manage, and administer your relational databases on Google Cloud Platform.
BigQuery- Google BigQuery is a cloud-based Architecture and provides exceptional performance as it can auto-scale up and down based on the data load and performs data analysis efficiently. On the other hand, SQL Server is based on client-server architecture and has fixed performance throughout unless the user scales it manually.
NEW QUESTION # 38
You are a database manager working for a new product that will need millions of reading and writ-ing from the database, with zero downtime, key-value i.e. NoSQL features, no manual steps should be required to ensure consistency, repair data, synchronize writes and deletes, Which of the follow-ing database you choose?
- A. Cloud Firestore
- B. Cloud Spanner
- C. Cloud SQL
- D. Cloud BigTable
Answer: D
Explanation:
Explanation
Cloud BigTable
Key features
High throughput at low latency
Bigtable is ideal for storing very large amounts of data in a key-value store and supports high read and write throughput at low latency for fast access to large amounts of data. Throughput scales linearly-you can increase QPS (queries per second) by adding Bigtable nodes. Bigtable is built with proven infrastructure that powers Google products used by billions such as Search and Maps.
Cluster resizing without downtime
Scale seamlessly from thousands to millions of reads/writes per second. Bigtable throughput can be dynamically adjusted by adding or removing cluster nodes without restarting, meaning you can increase the size of a Bigtable cluster for a few hours to handle a large load, then reduce the cluster's size again-all without any downtime.
Flexible, automated replication to optimize any workload
Write data once and automatically replicate where needed with eventual consistency-giving you control for high availability and isolation of reading and write workloads. No manual steps are needed to ensure consistency, repair data, or synchronize writes and deletes. Benefit from a high availability SLA of 99.999% for instances with multi-cluster routing across 3 or more regions (99.9% for single-cluster instances).
NEW QUESTION # 39
An organization wants full control of their virtual machine infrastructure for a custom home-grown application with a product that autoscales and automatically updates.
Which Google Cloud product or solution should the organization use?
- A. Cloud Run
- B. Cloud Build
- C. Compute Engine
- D. App Engine
Answer: C
Explanation:
Compute Engine will allow you to have full control of their VM infrastructure and you can autoscale and also apply automatic updates.
NEW QUESTION # 40
Your organization is developing an application that will capture a large amount of data from millions of different sensor devices spread all around the world. Your organization needs a database that is suitable for worldwide, high-speed data storage of a large amount of unstructured data.
Which Google Cloud product should your organization choose?
- A. Cloud Data Fusion
- B. Firestore
- C. Cloud SQL
- D. Cloud Bigtable
Answer: D
NEW QUESTION # 41
Your client is a financial services company giving loans based on customer profiles. As part of the regulatory compliance, they have to collect a bunch of different documents with know your cus-tomer (KYC) information. They want to be able to process the information in these documents quickly and at scale. They want to integrate the chosen solution as quickly as possible. What are your options on Google Cloud?
- A. Integrate the Lending DocAI and Document AI in two there processes workflow of the processing loan requests.
- B. Integrate the Cloud Vision API to create a custom model to handle the documents.
- C. Create a model using TensorFlow and integrated it into the process workflow.
- D. Integrate the Natural Language API to read the request sent in by clients and to process the forms.
Answer: A
Explanation:
Explanation
Lending DocAI is a pre-packaged AI solution that speeds "up the mortgage workflow processes to easily process loans and automate document data capture, while ensuring the accuracy and breadth of different documents (e.g., tax statements and asset documents)."
https://cloud.google.com/solutions/lending-doc-ai
NEW QUESTION # 42
Your organization needs to ensure that the Google Cloud resources of each of your departments are segregated from one another. Each department has several environments of its own: development, testing, and production.
Which strategy should your organization choose?
- A. Create a folder per department, and create a project per environment in each folder.
- B. Create a project per department, and create a folder per environment in each project.
- C. Create a Cloud Identity domain per department, and create a project per environment in each domain.
- D. Create a Cloud Identity domain per environment, and create a project per department in each domain.
Answer: A
Explanation:
Explanation
Text Description automatically generated
Text Description automatically generated
Reference link- https://cloud.google.com/resource-manager/docs/creating-managing-folders Reference link-
https://stackoverflow.com/questions/59460623/how-to-create-a-folder-a-project-under-it-with-deployment-mana
NEW QUESTION # 43
Your company has made plans to roll out OpenShift, a Kubernetes platform solution offered by IBM Red Hat, across all its on-premises and public cloud environments. Given that you are the lead architect responsible for your company's GCP deployments, what type of shared responsibility model will this deployment entail for you?
- A. SaaS
- B. On premises
- C. PaaS
- D. IaaS
Answer: D
Explanation:
Explanation
The key to remember here is that for a service provided (GCP in this case) to take responsibility for its PaaS, it must offer the service as a managed service. GCP offers its own Kubernetes platform called GKE. But OpenShift is not a Google-offered PaaS solution. As such, Google will not take responsibility for the back-end operations and design of your OpenShift environments. You will need to manage all the VMs that OpenShift will provision as part of its GCP deployment. So this is an IaaS deployment from a shared responsibility model perspective.
NEW QUESTION # 44
How do Migrate for Compute Engine and Migrate for Anthos differ?
- A. Unlike Migrate for Anthos, Migrate for Compute Engine assumes that the migration source is VMware vSphere.
- B. Migrate for Compute Engine is closed source, and Migrate for Anthos is open source.
- C. Migrate for Compute Engine charges for ingress, but Migrate for Anthos does not.
- D. Migrate for Anthos migrates to containers, and Migrate for Compute Engine migrates to virtual machines.
Answer: D
NEW QUESTION # 45
A cloud-native organization is not meeting their service level objective (SLO) but has not exhausted their error budget.
What should the organization prioritize?
- A. Innovation to improve user experience
- B. Speed to release new features
- C. Stability to avoid prolonged user downtime
- D. Hardware reliability to improve availability
Answer: C
Explanation:
Explanation
Both Devs and SRE team must ensure that the error budget does not become exhausted. To avoid it, releases have to stop for the time being until the error budget resets. The team would have to reprioritize to focus on reliability to get it back to an acceptable state.
NEW QUESTION # 46
A partner of yours used to have their own private data center. Your company was already on Google Cloud and now they have also moved to Google Cloud. You are investigating whether there are ways to collaborate better or shared services. What would be one good option to consider?
- A. Use Private Service Access within Google Cloud.
- B. Use VPC Shared Networks to share common resources.
- C. Use public IP addresses as before. It will automatically be routed internally only.
- D. Use VPC Peering to share resources privately between your two organizations.
Answer: D
Explanation:
Explanation
VPC Network Peering allows internal IP address connectivity across two Virtual Private Cloud (VPC) networks regardless of whether they belong to the same project or the same organization.
-> Shared VPC is only within an organization - it allows an organization to connect resources from multiple projects to a common Virtual Private Cloud (VPC) network, so that they can communicate with each other securely and efficiently using internal IPs from that network.
-> Private Google Access is only to access Google APIs and services
References:
-> https://cloud.google.com/vpc/docs/vpc-peering
-> https://cloud.google.com/vpc/docs/private-google-access
-> https://cloud.google.com/vpc/docs/shared-vpc
NEW QUESTION # 47
Your customer currently has a hybrid cloud setup including their on-premises data center and AWS. They are consolidating all their services on Google Cloud as part of a modernization plan and want to spend less IT effort in the future. There are about 10 MySQL and 25 PostgreSQL databases across the two DCs. What is the best option to for them?
- A. Use the Data Catalog Service to manage the metadata of the databases
- B. Use the Database Migration Service
- C. Use the Bare Metal Solution and copy the databases directly as they are on-premises and on AWS.
- D. Use Cloud Dataflow service and setup Google's Cloud SQL as the sink and the others as the source, which will cause the data to flow in as expected.
Answer: B
Explanation:
Database Migration is the right one to use: "Simplifying migrations to Cloud SQL. Now available for MySQL and PostgreSQL migrations, with SQL Server coming soon." Since the customer also doesn't want to manage their own database installations in the future, Cloud SQL is the best option.
https://cloud.google.com/database-migration
NEW QUESTION # 48
Your application has repeated data requests of the exact same nature. At the same time, the number of user requests is increasing. Monitoring indicates that the load on the existing database is increasing, and there seems to be a bottleneck. An analysis of the data requested shows us that it is application-managed data and that it changes, but not often. How can you improve the efficiency of the application?
- A. Increase the amount of RAM on the machine hosting the database so that it has higher data throughput.
- B. Use Cloud Memorystore to improve speed via caching
- C. Increase the number of CPUs on the machine hosting the database so that it has higher data throughput.
- D. Use Cloud Storage with multi-regional storage so that all users accessing the data will have lower latency
Answer: B
Explanation:
Cloud Memorystore is an in-memory database that has sub-millisecond latency. This is ideal for caching application data that also changes once in a while.
https://cloud.google.com/memorystore
NEW QUESTION # 49
An organization runs their application on a virtual machine, but every time they want to edit specific features, they have to bring the system offline to update the applica-tion. What would be a more appropriate solution for their app?
- A. Containers
- B. GPUs
- C. Solid State Disk
- D. Hypervisors
Answer: A
Explanation:
Because containers can compartmentalize applications which enables parts to be edited in isolation.
Reference link- https://cloud.google.com/learn/what-are-containers
NEW QUESTION # 50
A Multiple projects within your organization have long-term VM usage. Based on current demand, they are able to project into the future and estimate how many VM hours they will use every year. Going in for a committed use contract seems sensible. How can you configure committed use easily across all the projects?
- A. Share a Google Sheet and request each project team to send in their estimate. Enable committed use accordingly on a per-project basis.
- B. Take a report of each project's use in the last year. Enable committed use on a per-project basis based on the previous year's numbers.
- C. Enable committed use with discount sharing for the projects
- D. Review the usage of resources by each project on a daily basis. Enable committed use for the following day based on that number, so that it gives maximum granularity without wastage.
Answer: C
Explanation:
Enable committed use discounts are applied to the project from which you purchased it. To share the discount across multiple projects linked to your Cloud Billing account, enable committed use discount sharing from the console. When you enable committed use discount sharing, all of your current active committed use dis-counts in all the projects under the same Cloud Billing account, including those you previously purchased and new ones you purchase in the future are shared across your Cloud Billing account. Your sustained use discounts are also pooled and shared across all projects within your Cloud Billing account.
NEW QUESTION # 51
A customer has contacted you about migrating to Google Cloud. The customer would like to mi-grate their data from on premises as soon as possible. They don't have the budget to rewrite code, and they want the most direct route. What migration option should suggest to the customer?
- A. Lift and Shift
- B. None, since the customer is not cloud native ready.
- C. Improve and Move
- D. Rip and Replace
Answer: A
Explanation:
Explanation
With Lift and Shift migrations, the customer could move workloads from a source environment to a target environment with few or no modifications or refactoring
https://cloud.google.com/architecture/migration-to-gcp-getting-started
NEW QUESTION # 52
Which of the following are the current options for paid support in GCP? (Select Three An-swer)
- A. Premier
- B. Standard
- C. Enhanced
- D. Premium
- E. Role
Answer: B,C,D
Explanation:
Because GCP provides three options for paid support which are Standard, Enhanced and Premium.
Basic Support is included with your Google Cloud subscription which cover only Case, phone, and chat support for billing issues only Reference link- https://cloud.google.com/support
NEW QUESTION # 53
A large organization is struggling to manage their cloud costs effectively. They want to increase vis-ibility into cloud costs. Which cost management approach should the organization use?
- A. Review any cloud spending that exceeds the organization's error budget.
- B. Appoint a single person to monitor cloud spending across the organization.
- C. Increase monitoring of on-premises infrastructure and services.
- D. Establish a partnership between finance, technology, and business teams.
Answer: D
Explanation:
Because cross-team partnerships are part of the visibility cost management strategy.
https://wa.aws.amazon.com/wat.question.COST_1.en.html
NEW QUESTION # 54
Your organization wants to migrate its data management solutions to Google Cloud because it needs to dynamically scale up or down and to run transactional SQL queries against historical data at scale. Which Google Cloud product or service should your organization use?
- A. Cloud Bigtable
- B. Cloud Spanner
- C. Pub/Sub
- D. BigQuery
Answer: B
Explanation:
Reference:
Cloud Spanner is a fully-managed, mission-critical relational database service. It is designed to provide a scalable online transaction processing (OLTP) database with high availability and strong consistency at global scale
NEW QUESTION # 55
Your organization runs all its workloads on Compute Engine virtual machine instances. Your organization has a security requirement: the virtual machines are not allowed to access the public internet. The workloads running on those virtual machines need to access BigQuery and Cloud Storage, using their publicly accessible interfaces, without violating the security requirement.
Which Google Cloud product or feature should your organization use?
- A. Identity-Aware Proxy
- B. Cloud NAT (network address translation)
- C. VPC internal load balancers
- D. Private Google Access
Answer: D
Explanation:
VM instances that only have internal IP addresses (no external IP addresses) can use Private Google Access. They can reach the external IP addresses of Google APIs and services. The source IP address of the packet can be the primary internal IP address of the network interface or an address in an alias IP range that is assigned to the interface. If you disable Private Google Access, the VM instances can no longer reach Google APIs and services; they can only send traffic within the VPC network.
https://cloud.google.com/vpc/docs/configure-private-google-access
NEW QUESTION # 56
Your organization needs to restrict access to a Cloud Storage bucket. Only employees who are based in Canada should be allowed to view the contents.
What is the most effective and efficient way to satisfy this requirement?
- A. Configure Google Cloud Armor to allow access to the bucket only from IP addresses based in Canada
- B. Create a group consisting of all Canada-based employees, and give the group access to the bucket
- C. Deploy the Cloud Storage bucket to a Google Cloud region in Canada
- D. Give each employee who is based in Canada access to the bucket
Answer: B
Explanation:
Reference:
Because you can use your own private VPN to access the Canada-only bucket from anywhere in the world.
NEW QUESTION # 57
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Google Cloud Digital Leader Certification Exam is a comprehensive exam that covers a broad range of topics. It is designed to test your knowledge and skills in various areas, including cloud computing, digital transformation, leadership, and Google Cloud technologies. You will need to have a good understanding of these areas to pass the exam.
The Google Cloud-Digital-Leader exam covers a wide range of topics, including cloud computing concepts, digital transformation strategy, data analytics, and machine learning. Cloud-Digital-Leader exam is designed to test the knowledge and skills required to lead digital transformation initiatives using Google Cloud technologies. It is a comprehensive exam that requires a deep understanding of cloud computing and digital transformation.
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