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NEW QUESTION: 1
A Machine Learning Specialist has completed a proof of concept for a company using a small data sample and now the Specialist is ready to implement an end-to-end solution in AWS using Amazon SageMaker The historical training data is stored in Amazon RDS Which approach should the Specialist use for training a model using that data?
A. Write a direct connection to the SQL database within the notebook and pull data in
B. Push the data from Microsoft SQL Server to Amazon S3 using an AWS Data Pipeline and provide the S3 location within the notebook.
C. Move the data to Amazon ElastiCache using AWS DMS and set up a connection within the notebook to pull data in for fast access.
D. Move the data to Amazon DynamoDB and set up a connection to DynamoDB within the notebook to pull data in
Answer: C

NEW QUESTION: 2

A. Option D
B. Option B
C. Option A
D. Option C
Answer: B

NEW QUESTION: 3
For which two situations would you use functionality provided by the Resource Manager? (Choose two.)
A. creating alerts to perform notification when tablespaces are low on available space resources
B. assigning priorities to jobs to manage access to system resources
C. saving storage space by using compressed backup sets
D. creating jobs that will run automatically at a scheduled time
E. setting idle timeout limits on resource plans
Answer: B,E
Explanation:
The Resource Manager provides the functionality of setting idle timeout limits on resource plans and assigning priorities to jobs to manage access to system resources. The
Resource Manager feature of an Oracle database provides a set of APIs that allow you to manage resources automatically. The Resource Manager allows you to distribute processing resources to users so that they are used efficiently, create undo pools to be used by specific groups of users, create session pools for users, limit the number of active sessions for a specific group of users, and prevent processing-intensive jobs from executing longer than expected or from generating more I/O than you specify. RMAN provides the functionality of saving storage space by using compressed backup sets. The Scheduler provides the functionality of creating jobs that will run automatically at a scheduled time. The Tablespace Monitoring feature provides the functionality of creating alerts to perform notification when tablespaces are low on available space resources. Monitoring and Tuning RMAN.

Certification Tracks

• Amazon AWS Certified DevOps Engineer
• Amazon Certified Entry Networking Technician