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Oracle 1Z0-1110-26 Exam Syllabus Topics:

Oracle Cloud Infrastructure Data Science Professional Sample Questions:

1. You have an embarrassingly parallel or distributed batch job with a large amount of data running using Data Science Jobs. What would be the best approach to run the workload?

A) Create a 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 Data Science Job service can have only one job per job

2. Which step is a part of the AutoML pipeline?

A) Model Deployment
B) Feature Extraction
C) Model saved to Model Catalog
D) Feature Selection

3. You want to use ADSTuner to tune the hyperparameters of a supported model you recently trained. You have just started your search and want to reduce the computational cost as well as assess the quality of the model class that you are using. What is the most appropriate search space strategy to choose?

A) Perfunctory
B) Detailed
C) ADSTuner doesn’t need a search space to tune the hyperparameters
D) Pass a dictionary that defines a search space

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

A) True
B) False

5. You have been given a collection of digital files required for a business audit. They consist of several different formats that you would like to annotate using Oracle Cloud Infrastructure (OCI) Data Labeling. Which THREE types of files could this tool annotate?

A) Images of computer server racks
B) A collection of purchase orders for office supplies
C) A typewritten document that details an annual budget
D) An audio recording of a phone conversation
E) Video footage of a conversation in a conference room

Solutions: