[UPDATED 2024] Free Oracle 1z0-1110-23 Exam Questions Self-Assess Preparation [Q47-Q68]

[UPDATED 2024] Free Oracle 1z0-1110-23 Exam Questions Self-Assess Preparation

1z0-1110-23 Free Sample Questions to Practice One Year Update

NEW QUESTION # 47
You want to write a Python script to create a collection of different projects for your data science team. Which Oracle Cloud Infrastructure (OCI) Data Science Interface would you use?

• A. Command Line Interface (CLI)
• B. Programming Language Software Development Kit (SDK)
• C. Mobile App
• D. OCI Console

Answer: B

NEW QUESTION # 48
After you have created and opened a notebook session, you want to use the Accelerated Data Science (ADS) SDK to access your data and get started with an exploratory data analysis.
From which two places can you access or install the ADS SDK?

• A. Oracle Autonomous Data Warehouse
• B. Python Package Index (PyPI
• C. Oracle Big Data Service
• D. Conda environments in Oracle Cloud Infrastructure (OCI) Data Science
• E. Oracle Machine Learning (OML)

Answer: B,D

NEW QUESTION # 49
You want to write a program that performs document analysis tasks such as extracting text and tables from a document. Which Oracle AI service would you use?

• A. OCI Language
• B. OCI Speech
• C. OCI Vision
• D. Oracle Digital Assistant

Answer: C

NEW QUESTION # 50
As a data scientist, you create models for cancer prediction based on mammographic images.
The correct identification is very crucial in this case. After evaluating two models, you arrive at the following confusion matrix.
Model 1 has Test accuracy is 80% and recall is 70%.
* Model 2 has Test accuracy is 75% and recall is 85%.
Which model would you prefer and why?

• A. Model 2, because recall has more impact on predictions in this use se.
• B. Model 1, because the test accuracy is high.
• C. Model 1, because recall has lesser impact on predictions in this use case
• D. Model 2, because recall is high.

Answer: A

NEW QUESTION # 51
You have just received a new data set from a colleague. You want to quickly find out summary information about the data set, such as the types of features, total number of observations, and data distributions, Which Accelerated Data Science (ADS) SDK method from the AD&Dataset class would you use?

• A. Show_corr{}
• B. To_xgb{}
• C. Show_in_notebook{}
• D. Compute{}

Answer: C

NEW QUESTION # 52
You want to make your model more frugal to reduce the cost of collecting and processing data.
You plan to do this by removing features that are highly correlated. You would like to create a heat map that displays the correlation so that you can identify candidate features to remove.
Which Accelerated Data Science (ADS) SDK method is appropriate to display the comparability between Continuous and Categorical features?

• A. cramersv_plot()
• B. pearson_plot()
• C. corr()
• D. correlation_ratio_plot()

Answer: D

NEW QUESTION # 53
You are a data scientist leveraging Oracle Cloud Infrastructure (OCI) Data Science to create a model and need some additional Python libraries for processing genome sequencing data. Which of the following THREE statements are correct with respect to installing additional Python libraries to process the data?

• A. OCI Data Science allows root privileges in notebook sessions.
• B. You can install private or custom libraries from your own internal repositories.
• C. You can install any open source package available on a publicly accessible Python Package Index (PyPI) repository.
• D. You cannot install a library that's not preinstalled in the provided image
• E. You can only install libraries using yum and pip as a normal user.

Answer: A,C,E

NEW QUESTION # 54
You want to write a Python script to create a collection of different projects for your data science team. Which Oracle Cloud Infrastructure (OCI) Data Science interface would you use?

• A. The OCI Software Development Kit (SDK)
• B. Mobile App
• C. OCI Console
• D. Command line interface (CLI)

Answer: A

NEW QUESTION # 55
You have created a Data Science project in a compartment called Development and shared it with a group of collaborators. You now need to move the project to a different compartment called Production after completing the current development iteration.
Which statement is correct?

• A. Moving a project to a different compartment also moves its associated notebook sessions and models to the new compartment.
• B. Moving a project to a different compartment requires deleting all its associated notebook sessions and models first.
• C. You can move a project to a different compartment without affecting its associated notebook sessions and models
• D. You cannot move a project to a different compartment after it has been created.

Answer: A

NEW QUESTION # 56
Which of the following TWO non-open source JupyterLab extensions has Oracle Cloud In-frastructure (OCI) Data Science developed and added to the notebook session experience?

• A. Table of Contents
• B. Notebook Examples
• C. Environment Explorer
• D. Command Palette
• E. Terminal

Answer: B,C

NEW QUESTION # 57
Six months ago, you created and deployed a model that predicts customer churn for a call center. Initially, it was yielding quality predictions. However, over the last two months, users have been questioning the credibility of the predictions. Which TWO methods customer churn would you employ to verify the accuracy of the model?

• A. Retrain the model
• B. Validate the model using recent data
• C. Redeploy the model
• D. Operational monitoring
• E. Drift monitoring

Answer: A,B

NEW QUESTION # 58
The Oracle AutoML pipeline automates hyperparameter tuning by training the model with different parameters in parallel. You have created an instance of Oracle AutoML as ora-cle_automl and now you want an output with all the different trials performed by Oracle Au-toML. Which of the following command gives you the results of all the trials?

• A. Oracle.automl.visualize_adaptive_sampling_trails()
• B. Oracle.automl.visualize_algorith_selection_trails()
• C. Oracle.automl.print_trials()
• D. Oracle.automl.visualize_tuning_trails()

Answer: C

NEW QUESTION # 59
Which two statements are true about published conda environments?

• A. Your notebook session acts as the source to share published conda environments with team members.
• B. In addition to service job run environment variables, conda environment variables can be used in Data Science Jobs.
• C. You can only create a published conda environment by modifying a Data Science conda environment.
• D. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
• E. The odac conda init command is used to configure the location of published conda environments.

Answer: A,B

NEW QUESTION # 60
You are working as a data scientist for a healthcare company. They decide to analyze the data to find patterns in a large volume of electronic medical records. You are asked to build a PySpark solution to analyze these records in a JupyterLab notebook. What is the order of recommended steps to develop a PySpark application in Oracle Cloud Infrastructure (OCI) Data Science?

• A. Install a Spark conda environment. Configure core-site.xml. Launch a notebook session.
  Create a Data Flow application with the Accelerated Data Science (ADS) SDK. Develop your PySpark application.
• B. Configure core-site.xml. Install a PySpark conda environment. Create a Data Flow application with the Accelerated Data Science (ADS) SDK. Develop your PySpark application. Launch a notebook session.
• C. Launch a notebook session. Configure core-site.xml. Install a PySpark conda environment.
• D. Launch a notebook session. Install a PySpark conda environment. Configure core-site.xml.
  Develop your PySpark application. Create a Data Flow application with the Accelerated Data Science (ADS) SDK.
• E. Develop your PySpark application. Create a Data Flow application with the Accelerated Data Science (ADS) SDK.

Answer: D

NEW QUESTION # 61
As a data scientist, you are tasked with creating a model training job that is expected to take different hyperparameter values on every run. What is the most efficient way to set those parameters with Oracle Data Science Jobs?

• A. Create a new job by setting the required parameters in your code and create a new job for every code change.
• B. Create your code to expect different parameters as command line arguments and create a new job every time you run the code.
• C. Create a new job every time you need to run your code and pass the parameters as environment variables.
• D. Create your code to expect different parameters either as environment variables or as command line arguments, which are set on every job run with different values.

Answer: D

NEW QUESTION # 62
You are a data scientist leveraging the Oracle Cloud Infrastructure (OCI) Language AI service for various types of text analyses. Which TWO capabilities can you utilize with this tool?

• A. Sentence diagramming
• B. Topic classification
• C. Punctuation correction
• D. Sentiment analysis
• E. Table extraction

Answer: B

NEW QUESTION # 63
You are a data scientist with a set of text and image files that need annotation, and you want to use Oracle Cloud Infrastructure (OCI) Data Labeling. Which of the following THREE an-notation classes are supported by the tool.?

• A. Key-Point and Landmark
• B. Classification (single/multi label)
• C. Named Entity Extraction
• D. Polygonal Segmentation
• E. Object Detection
• F. Semantic Segmentation

Answer: B,C,E

NEW QUESTION # 64
You have a complex Python code project that could benefit from using Data Science Jobs as it is a repeatable machine learning model training task. The project contains many subfolders and classes.
What is the best way to run this project as a Job?

• A. ZIP the entire code project folder and upload it as a Job artifact on job creation. Jobs identifies the main executable file automatically.
• B. Rewrite your code so that it is a single executable Python or Bash/Shell script file.
• C. ZIP the entire code project folder, upload it as a Job artifact on job creation, and set JOB_RUN_ENTRYPOINT to point to the main executable file.
• D. ZIP the entire code project folder and upload it as a Job artifact. Jobs automatically identifies the_main_ top level where the code is run.

Answer: C

NEW QUESTION # 65
You have received machine learning model training code, without clear information about the optimal shape to run the training. How would you proceed to identify the optimal compute shape for your model training that provides a balanced cost and processing time?

• A. Start with the strongest compute shape Job's support and monitor the Job Run metrics and time required to complete the model training. Tune the model so that it utilizes as much compute resources as possible, even at an increased cost.
• B. Start with a smaller shape and monitor the Job Run metrics and time required to complete the model training. If the compute shape is not fully utilized, tune the model parameters, and re- run the job. Repeat the process until the shape resources are fully utilized.
• C. Start with a smaller shape and monitor the utilization metrics and time required to complete the model training. If the compute shape is fully utilized, change to compute that has more resources and re-run the job. Repeat the process until the processing time does not improve.
• D. Start with a random compute shape and monitor the utilization metrics and time required to finish the model training. Perform model training optimizations and performance tests in advance to identify the right compute shape before running the model training as a job.

Answer: C

NEW QUESTION # 66
You have created a conda environment in your notebook session. This is the first time you are working with published conda environments. You have also created an Object Storage bucket with permission to manage the bucket.
Which two commands are required to publish the conda environment?

• A. odsc conda list --override
• B. odsc conda init --bucket_namespace <NAMESPACE> --bucket_name <BUCKET>
• C. odsc conda create --file manifest.yaml
• D. odac conda publish --slug <SLUG>
• E. conda activate /home/datascience/conda/<SLUG>

Answer: B,D

NEW QUESTION # 67
Six months ago, you created and deployed a model that predicts customer churn for a call centre. Initially, it was yielding quality predictions. However, over the last two months, users are questioning the credibility of the predictions.
Which two methods would you employ to verify the accuracy of the model?

• A. Validate the model using recent data
• B. Drift monitoring
• C. Redeploy the model
• D. Operational monitoring
• E. Retrain the model

Answer: A,B

NEW QUESTION # 68
......

Oracle 1z0-1110-23 Exam Syllabus Topics:

Topic	Details
Topic 1	Obtain Global & Local Model Explanations Create and Export a Dataset using OCI Data Labeling
Topic 2	Implement end-to-end Machine Learning Lifecycle OCI Data Science - Introduction & Configuration
Topic 3	reate and Use automated ML capability from Oracle AutoML Use Pipelines to automate machine learning workflow
Topic 4	Configure and manage source code in Code Repositories (Git) Understand the capabilities of Accelerated Data Science(ADS) SDK

 

Real exam questions are provided for Oracle Cloud tests, which can make sure you 100% pass: https://www.fast2test.com/1z0-1110-23-premium-file.html

Download 1z0-1110-23 exam with Oracle 1z0-1110-23 Real Exam Questions: https://drive.google.com/open?id=1H4_nlB-10J0bDNJ-PuPmZKZIOpanjced