Oracle 1Z0-1110-25 Online Practice Questions and Exam Preparation

Oracle 1Z0-1110-25 Online Questions & Answers

• Question 141:

  Which statement is true about origin management in Web Application Firewall (WAF)?

  A. Multiple origins can be defined
  B. Only a single origin can be active for a WAF
  C. Only statement B is true
  D. Both the statements are false
  E. Both the statements are true
  F. Only statement A is true
  E. Both the statements are true

• Question 142:

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

• Question 143:

  You want to make API calls against other OCI services from your instance without configuring user credentials. How would you achieve this?

  A. Create a dynamic group and add a policy
  B. Create a dynamic group and add your instance
  C. Create a group and add a policy
  D. No configuration is required for making API calls
  A. Create a dynamic group and add a policy

• Question 144:

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

  A. show_corr()
  B. to_xgb()
  C. compute()
  D. show_in_notebook()
  D. show_in_notebook()

• Question 145:

  Which technique can be used for feature engineering in the machine learning lifecycle?

  A. Principal Component Analysis (PCA)
  B. K-means clustering
  C. Support Vector Machines (SVM)
  D. Gradient boosting
  A. Principal Component Analysis (PCA)

• Question 146:

  Which architecture is based on the principle of "never trust, always verify"?

  A. Federated identity
  B. Zero trust
  C. Fluid perimeter
  D. Defense in depth
  B. Zero trust

• Question 147:

  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 start a job run. When it is done, start a new job run until you achieve the number of runs required
  B. Create the job in Data Science Jobs and then start the number of simultaneous job runs required for your workload
  C. Reconfigure the job run because Data Science Jobs does not support embarrassingly parallel workloads
  D. 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
  B. Create the job in Data Science Jobs and then start the number of simultaneous job runs required for your workload

• Question 148:

  Which statement best describes Oracle Cloud Infrastructure Data Science Jobs?

  A. Jobs let you define and run repeatable tasks on fully managed infrastructure.
  B. Jobs let you define and run repeatable tasks on customer-managed infrastructure.
  C. Jobs let you define and run repeatable tasks on fully managed third-party cloud infrastructures.
  D. Jobs let you define and run all Oracle Cloud DevOps workloads.
  A. Jobs let you define and run repeatable tasks on fully managed infrastructure.

• Question 149:

  Which statement about resource principals is true?

  A. When you authenticate using a resource principal, you need to create and manage credentials to access OCI resources.
  B. A resource principal is not a secure way to authenticate to resources, compared to the OCI configuration and API key approach.
  C. The Data Science service does not provide authentication via a notebook session's or job run's resource principal to access other OCI resources.
  D. A resource principal is a feature of IAM that enables resources to be authorized principal actors.
  D. A resource principal is a feature of IAM that enables resources to be authorized principal actors.

• Question 150:

  You are working in your notebook session and 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. Deactivate your notebook session, provision a new notebook session on a larger compute shape, and recreate all your file changes
  B. Download your files and data to your local machine, delete your notebook session, provision a new notebook session on a larger compute shape, and upload your files from your local machine to 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 with a larger compute shape selected
  D. Create a temporary bucket in Object Storage, write all your files and data to Object Storage, delete the notebook session, provision a new notebook session on a larger compute shape, and copy your files and data from your temporary bucket to your 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 with a larger compute shape selected