1z0-1110-22 Dumps PDF - 1z0-1110-22 Real Exam Questions Answers
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Oracle 1z0-1110-22 Exam Syllabus Topics:
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NEW QUESTION 18
You trained a model to predict housing prices for your city. Which two metrics from the Ac-celerated Data Science (ADS) Evaluation class can be used to evaluate the regression model you just trained?
- A. Weighted Precision
- B. F-1 Score
- C. Mean Absolute Error
- D. Explained Variance Score
- E. Weighted Recall
Answer: C,D
NEW QUESTION 19
Using Oracle AutoML, you are tuning hyperparameters on a supported model class and have specified a time budget. AutoML terminates computation once the time budget is exhausted. What would you expect AutoML to return in case the time budget is exhausted before hy-perparameter tuning is completed?
- A. The current best-known hyperparameter configuration is returned.
- B. A hyperparameter configuration with a minimum learning rate is returned.
- C. A random hyperparameter configuration is returned.
- D. The last generated hyperparameter configuration is returned.
Answer: A
NEW QUESTION 20
You have created a model, and you want to use the Accelerated Data Science (ADS) SDK to deploy this model. Where can you save the artifacts to deploy this model with ADS?
- A. Model Catalog
- B. Model Depository
- C. OCI Vault
- D. Data Science Artifactory
Answer: A
NEW QUESTION 21
You have developed a model training code that regularly checks for new data in Object Storage and retrains the model. Which statement best describes the Oracle Cloud Infrastructure (OCI) services that can be accessed from Data Science Jobs?
- A. Data Science Jobs cannot access all OCI services.
- B. Data Science Jobs can access all OCI services.
- C. Some OCI services require authorizations not supported by Data Science Jobs.
- D. Data Science Jobs can access OCI resources only via the resource principal.
Answer: B
NEW QUESTION 22
As you are working in your notebook session, you find that your notebook session does not have enough compute CPU and memory for your workload. How would you scale up your notebook session without losing your work?
- A. Create a temporary bucket in Object Storage, write all your files and data to Object Storage, delete tur ctebook session, provision a new notebook session on a larger com-pute shape, and capy your flies and data from your temporary bucket onto your new notebook session.
- B. Down your files and data to your local machine, delete your notebook session, provision tebook session on a larger compute shape, and upload your files from your local the new notebook session.
- C. Ensure your files and environments are written to the block volume storage under the /home/datascience directory, deactivate the notebook session, and activate the notebook larger compute shape selected.
- D. Deactivate your notebook session, provision a new notebook session on larger compute shape, and re-create all your file changes.
Answer: C
NEW QUESTION 23
As a data scientist, you are working on a global health data set that has data from more than 50 countries. You want to encode three features, such as 'countries', 'race', and 'body organ' as categories. Which option would you use to encode the categorical feature?
- A. auto_transform()
- B. DataFramLabelEncode()
- C. show_in_notebook()
- D. OneHotEncoder()
Answer: B
NEW QUESTION 24
Which feature of the Oracle Cloud Infrastructure (OCI) Vision service helps you generate in-dexing tags for a collection of marketing photographs?
- A. Key Value extraction
- B. Image classification
- C. Document classification
- D. Text recognition
Answer: D
NEW QUESTION 25
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. Throw an error because the system cannot determine which handler to run.
- B. Execute the is_tech_job_open_handler handler.
- C. Execute the is_tech_job_default_handler sales handler.
- D. Execute the is_tech_job_closed_handler handler.
Answer: A
NEW QUESTION 26
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. Validate the model using recent data
- B. Redeploy the model
- C. Retrain the model
- D. Drift monitoring
- E. Operational monitoring
Answer: A,C
NEW QUESTION 27
Which TWO statements are true about published conda environments?
- A. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
- B. The odsc conda init command is used to configure the location of published conda en-vironments.
- C. They can be used in Data Science Jobs and model deployments.
- D. Your notebook session acts as the source to share published conda environment with team members.
- E. You can only create published conda environment by modifying a Data Science conde
Answer: B,D
NEW QUESTION 28
You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image dat a. Which of the following THREE are possible ways to annotate an image in Data Labeling?
- A. Adding labels to an image by drawing bounding box to an image, is not supported by Data Labeling
- B. Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.
- C. Adding multiple labels to an image.
- D. Adding labels to an image using object detection, by drawing bounding boxes to an im-age.
- E. Adding a single label to an image.
Answer: C,D,E
NEW QUESTION 29
You are attempting to save a model from a notebook session to the model catalog by using the Accelerated Data Science (ADS) SDK, with resource principal as the authentication signer, and you get a 404 authentication error. Which TWO should you look for to ensure permissions are set up correctly?
- A. The dynamic group's matching rule exists for notebook sessions in this compartment.
- B. The policy for your user group grants manage permissions for the model catalog in this compartment.
- C. The model artifact is saved to the block volume of the notebook session.
- D. The policy for the dynamic group grants manages permissions for the model catalog in this compartment.
- E. The networking configuration allows access to the Oracle Cloud Infrastructure (OCI) services through a Service Gateway.
Answer: B,D
NEW QUESTION 30
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. Dataset Browser
- B. SecretKeeper
- C. DatasetFactory
- D. ADSTurner
Answer: A
NEW QUESTION 31
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 pa-rameters with Oracle Data Science Jobs?
- A. Create a new job every time you need to run your code and pass the parameters as en-vironment variables.
- B. Create your code to expect different parameters as command line arguments, and create it new job every time you run the code.
- C. Create a new no by setting the required parameters in your code, and create a new job for mery code change.
- 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 32
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. Create a new job with increased storage size and then run the job.
- C. On the job run, set the environment variable that helps increase the size of the storage.
- D. Your code using too much disk space. Refactor the code to identify the problem.
Answer: A
NEW QUESTION 33
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. ADS Evaluator
- B. ADSTuner
- C. EvaluationMetrics
- D. ADS Explainer
Answer: C
NEW QUESTION 34
What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?
- A. Call the Accented Data Science (ADS) command to enable Al integration
- B. Create and upload the API signing key and config file
- C. Import the REST API
- D. Create and upload execute.py and runtime.yaml
Answer: B
NEW QUESTION 35
You have an embarrassingly parallel or distributed batch job on a large amount of data 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 job runs required for your workload.
- B. Create a new job for every job run that you have to run in parallel, because the Date 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.
- 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 36
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