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Oracle 1Z0-1110-26 Exam Syllabus Topics:

SectionObjectives
OCI Data Science - Introduction and Configuration- Configure and manage Data Science resources
- Use OCI Data Science notebooks and sessions
- Understand OCI Data Science service concepts and architecture
Implement End-to-End Machine Learning Lifecycle- Deploy models and consume model endpoints
- Prepare and manage datasets
- Automate machine learning workflows and pipelines
- Save and manage models using Model Catalog
- Build, train, and evaluate machine learning models
Use Related OCI Services- Integrate OCI Data and AI services
- Apply OCI services for data ingestion, storage, and processing
- Design machine learning solutions for business use cases
Design and Set Up Data Science Workspace- Use Accelerated Data Science SDK and open source tools
- Create and configure Data Science projects
- Manage notebook sessions and compute resources
Apply MLOps Practices- Monitor and maintain machine learning models
- Implement model lifecycle management
- Use best practices for operationalizing ML solutions

Oracle Cloud Infrastructure Data Science Professional Sample Questions:

Question 1

Which function's objective is to represent the difference between the predictive value and the target value?

A. Cost function
B. Update function
C. Optimizer function
D. Fit function


Question 2

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

A. Create a new job for every job run that you have to run in parallel, because the Data Science Jobs service can have only one job run per job
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. Create the job in Data Science Jobs and then start the number of simultaneous job runs required for your workload
D. Reconfigure the job run because Data Science Jobs does not support embarrassingly parallel workloads


Question 3

You are preparing a configuration object necessary to create a Data Flow application. Which THREE parameter values should you provide?

A. The path to the archive.zip file
B. The local path to your PySpark script
C. The display name of the application
D. The compartment of the Data Flow application
E. The bucket used to read/write the PySpark script in Object Storage


Question 4

You want to build a multistep machine learning workflow by using the Oracle Cloud Infrastructure (OCI) Data Science Pipeline feature. How would you configure the conda environment to run a pipeline step?

A. Use environmental variables
B. Configure a block volume
C. Configure a compute shape
D. Use command-line variables


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


Solutions:

Question 1
Answer: A
Question 2
Answer: C
Question 3
Answer: C,D,E
Question 4
Answer: A
Question 5
Answer: B,D,E

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