Exam Details

  • Exam Code
    :1Z0-1110-22
  • Exam Name
    :Oracle Cloud Infrastructure Data Science 2022 Professional
  • Certification
    :Oracle Certification
  • Vendor
    :Oracle
  • Total Questions
    :55 Q&As
  • Last Updated
    :

Oracle Oracle Certification 1Z0-1110-22 Questions & Answers

  • Question 1:

    The Accelerated Data Science (ADS) model evaluation classes support different types of ma-chine learning modeling techniques

    Which THREE types of modeling techniques are supported by ADS Evaluators?

    A. Recurrent Neural Network

    B. Regression Analysis

    C. Principal Component Analysis

    D. Binary Classification

    E. Multiclass Classification

    F. K-Means Clustering

  • Question 2:

    You want to ensure that all stdout and stderr from your code are automatically collected and logged, without implementing additional logging in your code. How would you achieve this with Data Science Jobs?

    A. Data Science Jots does not support automatic fog collection and storing.

    B. On job creation, enable logging and select a log group. Then, select either log or the op- tion to enable automatic log creation.

    C. You can implement custom logging in your code by using the Data Science Jobs logging.

    D. Make sure that your code is using the standard logging library and then store all the logs to Check Storage at the end of the job.

  • Question 3:

    Where do calls to stdout and stderr from score.py go in a model deployment?

    A. The predict log in the Oracle Cloud Infrastructure (OCI) Logging service as defined in the deployment.

    B. The OCI Cloud Shell, which can be accessed from the console.

    C. The file that was defined for them on the Virtual stachine (VM).

    D. The OCI console.

  • Question 4:

    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. Table extraction

    B. Punctuation correction

    C. Sentence diagramming

    D. Topic classification

    E. Sentiment analysis

  • Question 5:

    For your next data science project, you need access to public geospatial images. Which Oracle Cloud service provides free access to those images?

    A. Oracle Big Data Service

    B. Oracle Analytics Claud

    C. Oracle Cloud Infrastructure (OCI) Data Science

    D. Oracle Open Data

  • Question 6:

    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. Redeploy the model

    B. Retrain the model

    C. Operational monitoring

    D. Validate the model using recent data

    E. Drift monitoring

  • Question 7:

    You have received machine learning model training code, without clear information about the optimal shape to run the training on. 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 strangest compute shape Jobs 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 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.

    C. 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 rerun the job. Repeat the process until the shape resources are fully utilized.

    D. 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.

  • Question 8:

    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. 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.

    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. Deactivate your notebook session, provision a new notebook session on larger compute shape, and re-create all your file changes.

    D. 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.

  • Question 9:

    You are given the task of writing a program that sorts document images by language. Which Oracle AI service would you use?

    A. Oracle Digital Assistant

    B. OCI Speech

    C. OCI Vision

    D. OCI Language

  • Question 10:

    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 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.

    C. Reconfigure the job run because Data science jobs does not support embarrassingly parallel.

    D. 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.

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