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NEW QUESTION # 17
Youare a data scientist working for a manufacturing company. You have developed a forecasting model to predict the sales demand in the upcoming months. You created a model artifact that contained custom logic requiring third party libraries. When you deployed the model, it failed to run because you did not include all the third party dependencies in the model artifact. What file should be modified to include the missing libraries?
- A. requirements.txt
- B. runtime.yaml
- C. score.py
- D. model_artifact_validate.py
Answer: A
NEW QUESTION # 18
Which TWO statements are true about published conda environments?
- A. You can only create published conda environment by modifying a Data Science conde
- B. The odsc conda init command is used to configure the location of published conda en-vironments.
- C. Your notebook session acts as the source to share published conda environment with team members.
- D. They can be used in Data Science Jobs and model deployments.
- E. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
Answer: B,C
NEW QUESTION # 19
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. Environment Explorer
- B. Notebook Examples
- C. Terminal
- D. Command Palette
- E. Table of Contents
Answer: A,B
NEW QUESTION # 20
You have trained three different models on your data set using Oracle AutoML. You want to visualize the behavior of each of the models, including the baseline model, on the test set. Which class should be used from the Accelerated Data Science (ADS) SDK to visually compare the models?
- A. ADSTuner
- B. EvaluationMetrics
- C. ADSExplainer
- D. ADSEvaluator
Answer: D
NEW QUESTION # 21
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. Mobile App
- B. Command line interface (CLI)
- C. The OCI Software Development Kit (SDK)
- D. OCI Console
Answer: C
NEW QUESTION # 22
Which Oracle Accelerated Data Science (ADS) classes can be used for easy access to data sets from reference libraries and index websites such as scikit-learn?
- A. ADSTuner
- B. DatasetBrowser
- C. DataLabeling
- D. SecretKeeper
Answer: B
NEW QUESTION # 23
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. corr()
- B. correlation_ratio_plot()
- C. pearson_plot()
- D. cramersv_plot()
Answer: B
NEW QUESTION # 24
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 requires deleting all its associated notebook sessions and models first.
- B. You cannot move a project to a different compartment after it has been created.
- C. You can move a project to a different compartment without affecting its associated notebook sessions and models
- D. Moving a project to a different compartment also moves its associated notebook sessions and models to the new compartment.
Answer: D
NEW QUESTION # 25
You are creating an Oracle Cloud Infrastructure (OCI) Data Science job that will run on a recurring basis in a production environment. This job will pick up sensitive data from an Object Storage bucket, train a model, and save it to the model catalog. How would you design the authentication mechanism for the job?
- A. Package your personal OC file and keys in the job artifact.
- B. Store your personal OCI config file and kays in the Vault, and access the Vault through the job nun resource principal
- C. Use the resource principal of the job run as the signer in the job code, ensuring there is a dynamic group for this job run with appropriate access to Object Storage and the model catalog.
- D. Create a pre-authenticated request (PAA) for the Object Storage bucket, and use that in the job code.
Answer: C
NEW QUESTION # 26
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_tuning_trails()
- B. Oracle.automl.print_trials()
- C. Oracle.automl.visualize_algorith_selection_trails()
- D. Oracle.automl.visualize_adaptive_sampling_trails()
Answer: B
NEW QUESTION # 27
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. conda activate /home/datascience/conda/<SLUG>
- B. odsc conda list --override
- C. odsc conda init --bucket_namespace <NAMESPACE> --bucket_name <BUCKET>
- D. odac conda publish --slug <SLUG>
- E. odsc conda create --file manifest.yaml
Answer: C,D
NEW QUESTION # 28
You are building a model and need input that represents data as morning, afternoon, or evening.
However, the data contains a time stamp. What part of the Data Science life cycle would you be in when creating the new variable?
- A. Model validation
- B. Feature engineering
- C. Model type selection
- D. Data access
Answer: B
NEW QUESTION # 29
The feature type TechJob has the following registered validators:
Tech-Job.validator.register(name='is_tech_job', handler=is_tech_job_default_handler) Tech-Job.validator.register(name='is_tech_job', handler= is_tech_job_open_handler, condi-tion=('job_family',)) TechJob.validator.register(name='is_tech_job', handler= is_tech_job_closed_handler, condition=('job_family': 'IT')) When you run is_tech_job(job_family='Engineering'), what does the feature type validator system do?
- A. Execute the is_tech_job_closed_handler handler.
- B. Execute the is_tech_job_open_handler handler.
- C. Throw an error because the system cannot determine which handler to run.
- D. Execute the is_tech_job_default_handler sales handler.
Answer: C
NEW QUESTION # 30
data scientist, you use the Oracle Cloud Infrastructure (OCI) Language service to train custom models. Which types of custom models can be trained?
- A. Text classification, Named Entity Recognition (NER)
- B. Sentiment Analysis, Named Entity Recognition (NER)
- C. Object detection, Text classification
- D. Image classification, Named Entity Recognition (NER)
Answer: A
NEW QUESTION # 31
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. Programming Language Software Development Kit (SDK)
- B. Mobile App
- C. OCI Console
- D. Command Line Interface (CLI)
Answer: A
NEW QUESTION # 32
What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?
- A. Create and upload execute.py and runtime.yaml
- B. Create and upload the API signing key and config file
- C. Call the Accented Data Science (ADS) command to enable Al integration
- D. Import the REST API
Answer: B
NEW QUESTION # 33
During a job run, you receive an error message that no space is left on your disk device. To solve the problem, you must increase the size of the job storage. What would be the most effi-cient way to do this with Data Science Jobs?
- A. Edit the job, change the size of the storage of your job, and start a new job run.
- B. On the job run, set the environment variable that helps increase the size of the storage.
- C. Create a new job with increased storage size and then run the job.
- D. Your code using too much disk space. Refactor the code to identify the problem.
Answer: A
NEW QUESTION # 34
You have an embarrassingly parallel or distributed batch job on a large amount of data that you consider running using Data Science Jobs. What would be the best approach to run the workload?
- A. Create the job in Data Science Jobs and then start the number of simultaneous jobs runs required for your workload.
- B. Create a new job for every job run that you have to run in parallel, because the Data Science Jobs service can have only one job run per job.
- C. Reconfigure the job run because Data Science Jobs does not support embarrassingly parallel workloads.
- D. Create the job in Data Science Jobs and start a job run. When it is done, start a new job run until you achieve the number of runs required.
Answer: A
NEW QUESTION # 35
You loaded data into Oracle Cloud Infrastructure (OCI) Data Science. To transform the data, you want to use the Accelerated Data Science (ADS) SDK. When you applied the get_recommendations () tool to the ADSDataset object, it showed you user-detected issues with all the recommended changes to apply to the dataset. Which option should you use to apply all the recommended transformations at once?
- A. visualize_transforms ()
- B. auto_transform()
- C. get_transformed_dataset ()
- D. fit_transform()
Answer: B
NEW QUESTION # 36
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. Classification (single/multi label)
- B. Object Detection
- C. Polygonal Segmentation
- D. Named Entity Extraction
- E. Key-Point and Landmark
- F. Semantic Segmentation
Answer: A,B,D
NEW QUESTION # 37
During a job run, you receive an error message that no space is left on your disk device. To solve the problem, you must increase the size of the job storage. What would be the most efficient way to do this with Data Science Jobs?
- A. On the job run, set the environment variable that helps increase the size-of the storage.
- B. Edit the job, change the size of the storage of your job, and start a new job run.
- C. Create a new job with increased storage size and then run the job.
- D. Your code is using too much disk space. Refactor the code to identify the problem.
Answer: B
NEW QUESTION # 38
You realize that your model deployment is about to reach its utilization limit. What would you do to avoid the issue before requests start to fail?
- A. Reduce the load balancer bandwidth limit so that fewer requests come in.
- B. Update the deployment to add more instances.
- C. Delete the deployment.
- D. Update the deployment to use a larger virtual machine (mare CPUs/memory).
- E. Update the deployment to use fewer instances.
Answer: B
NEW QUESTION # 39
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 1, because recall has lesser impact on predictions in this use case
- B. Model 1, because the test accuracy is high.
- C. Model 2, because recall is high.
- D. Model 2, because recall has more impact on predictions in this use se.
Answer: D
NEW QUESTION # 40
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