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

Oracle 1Z0-1110-25 Online Questions & Answers

• Question 71:

  Which statement accurately describes an aspect of machine learning models?

  A. Model performance degrades over time due to changes in data.
  B. Static predictions become increasingly accurate over time.
  C. Data models are more static and generally require fewer updates than software code.
  D. A high-quality model will not need to be retrained as new information is received.
  A. Model performance degrades over time due to changes in data.

• Question 72:

  Which Oracle Cloud Infrastructure (OCI) Data Science policy is invalid?

  A. Allow group DataScienceGroup to use virtual-network-family in compartment DataScience
  B. Allow group DataScienceGroup to use data-science-model-sessions in compartment DataScience
  C. Allow dynamic-group DataScienceDynamicGroup to manage data-science-projects in compartment DataScience
  D. Allow dynamic-group DataScienceDynamicGroup to manage data-science-family in compartment DataScience
  B. Allow group DataScienceGroup to use data-science-model-sessions in compartment DataScience

• Question 73:

  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 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
  B. Start with the strongest 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
  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 rerun 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
  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 rerun the job. Repeat the process until the processing time does not improve

• Question 74:

  Which statement about Oracle Cloud Infrastructure Anomaly Detection is true?

  A. Accepted file types are SQL and Python
  B. Data used for analysis can be text or numerical in nature
  C. It is an important tool for detecting fraud, network intrusions, and discrepancies in sensor time series analysis
  D. It is trained on a combination of customer and general industry datasets
  C. It is an important tool for detecting fraud, network intrusions, and discrepancies in sensor time series analysis

• Question 75:

  Which of these options allow the sharing and loading back of ML models into a notebook session?

  A. Model provenance
  B. Model taxonomy
  C. Model deployment
  D. Model catalog
  D. Model catalog

• Question 76:

  Which statement is true about standards?

  A. They may be audited
  B. They are the result of a regulation or contractual requirement or an industry requirement
  C. They are methods and instructions on how to maintain or accomplish the directives of the policy
  D. They are the foundation of corporate governance
  A. They may be audited

• Question 77:

  Which components are a part of the OCI Identity and Access Management service?

  A. Policies
  B. Regional subnets
  C. Compute instances
  D. VCN
  A. Policies

• Question 78:

  You are working as a Data Scientist for a healthcare company. You have a series of neurophysiological data on OCI Data Science and have developed a convolutional neural network (CNN) classification model. It predicts the source of seizures in drug-resistant epileptic patients. You created a model artifact with all the necessary files. When you deployed the model, it failed to run because you did not point to the correct conda environment in the model artifact. Where would you provide instructions to use the correct conda environment?

  A. score.py
  B. runtime.yaml
  C. requirements.txt
  D. model_artifact_validate.py
  B. runtime.yaml

• Question 79:

  Which is NOT a compliance document?

  A. Certificate
  B. Penetration test report
  C. Attestation
  D. Bridge letter
  B. Penetration test report

• Question 80:

  Which type of file system does File Storage use?

  A. NFSv3
  B. iSCSI
  C. Paravirtualized
  D. NVMe SSD
  A. NFSv3