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Oracle 1Z0-1110-26 Exam Syllabus Topics:

Oracle Cloud Infrastructure Data Science Professional Sample Questions:

Question 1

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

Question 2

You have an image classification model in the model catalog which is deployed as an HTTP endpoint using model deployments. Your tenancy administrator is seeing increased demands and has asked you to increase the load balancing bandwidth from the default of 10Mbps. You are provided with the following information:
Payload size in KB = 1024
Estimated requests per second = 120 requests/second (Monday through Friday, in every month, in every year) Buffer percentage = 20%What is the optimal load balancing bandwidth to redeploy your model?

A. 52 Mbps
B. 7052 Mbps
C. 1152 Mbps
D. 452 Mbps

Question 3

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

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

Question 4

You are running a pipeline in the OCI Data Science service and want to override some of the pipeline's default settings. Which of the following statements about overriding pipeline defaults is true?

A. Pipeline defaults can be overridden only by the Administrator.
B. Pipeline defaults cannot be overridden once the pipeline has been created.
C. Pipeline defaults can be overridden before starting the pipeline execution.
D. Pipeline defaults can be overridden only during pipeline creation.

Question 5

You want to evaluate the relationship between feature values and target variables. You have a large number of observations having a near uniform distribution and the features are highly correlated. Which model explanation technique should you choose?

A. Local Interpretable Model-Agnostic Explanations
B. Feature Permutation Importance Explanations
C. Accumulated Local Effects
D. Feature Dependence Explanations

Solutions: