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

Oracle 1Z0-1110-25 Online Questions & Answers

• Question 91:

  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 Cloud
  C. Oracle Cloud Infrastructure (OCI) Data Science
  D. Oracle Open Data
  D. Oracle Open Data

• Question 92:

  You are using a custom application with third-party APIs to manage application and data hosted in an Oracle Cloud Infrastructure (OCI) tenancy. Although your third-party APIs don't support OCI's signature-based authentication, you want them to communicate with OCI resources. Which authentication option must you use to ensure this?

  A. OCI username and password
  B. API Signing Key
  C. SSH Key Pair with 2048-bit algorithm
  D. Auth Token
  D. Auth Token

• Question 93:

  Triggering a PagerDuty notification as part of Monitoring is an example of what in the OCI Console?

  A. Action
  B. Rule
  C. Function
  D. Event
  A. Action

• Question 94:

  As a data scientist, you require a pipeline to train ML models. When can a pipeline run be initiated?

  A. Pipeline can be initiated once it is created.
  B. Pipeline can be initiated during the pipeline run state.
  C. Pipeline can be initiated after the active state.
  D. Pipeline can be initiated before the active state.
  A. Pipeline can be initiated once it is created.

• Question 95:

  True or false? Bias is a common problem in data science applications.

  A. True
  B. False
  A. True

• Question 96:

  True or false? Data scientists typically need a combination of technical skills, nontechnical ones, and suitable personality traits to be successful.

  A. True
  B. False
  A. True

• Question 97:

  Which Web Application Firewall (WAF) service component must be configured to allow, block, or log network requests when they meet specified criteria?

  A. Protection rules
  B. Bot Management
  C. Origin
  D. Web Application Firewall policy
  A. Protection rules

• Question 98:

  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. Create a pre-authenticated request (PAR) for the Object Storage bucket and use that in the job code
  B. 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
  C. Package your personal OCI config file and keys in the job artifact
  D. Store your personal OCI config file and keys in the Vault, and access the Vault through the job run resource principal
  B. 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

• Question 99:

  You want to make your model more parsimonious 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 heatmap that displays the correlation so that you can identify candidate features to remove. Which Accelerated Data Science (ADS) SDK method would be appropriate to display the correlation between Continuous and Categorical features?

  A. corr()
  B. correlation_ratio_plot()
  C. pearson_plot()
  D. cramersv_plot()
  B. correlation_ratio_plot()

• Question 100:

  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 annotation classes are supported by the tool?

  A. Object detection
  B. Named entity extraction
  C. Classification (single/multi-label)
  D. Key-point and landmark
  E. Polygonal segmentation
  F. Semantic segmentation
  A. Object detection
  C. Classification (single/multi-label)
  F. Semantic segmentation