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NEW QUESTION: 1
Which user is most likely to use the automated modeling feature of IBM SPSS Modeler?
A. Business executive
B. IT manager
C. Professional statistician
D. Business analyst
Answer: D

NEW QUESTION: 2
During non-peak hours, a Developer wants to minimize the execution time of a full Amazon DynamoDB table scan without affecting normal workloads. The workloads average half of the strongly consistent read capacity units during non-peak hours.
How would the Developer optimize this scan?
A. Increase read capacity units during the scan operation
B. Use parallel scans while limiting the rate
C. Change consistency to eventually consistent during the scan operation
D. Use sequential scans
Answer: B
Explanation:
Explanation
Parallel scans would help improve the scan performance while using limit parameter the provisioned throughput consumed can be limited.
Refer AWS documentation - DynamoDB Parallel Scan
By default, the Scan operation processes data sequentially. DynamoDB returns data to the application in 1 MB increments, and an application performs additional operations to retrieve the next 1 MB of data.
The larger the table or index being scanned, the more time the will take to complete. In addition, a sequential Scan might not always be able to fully utilize the provisioned read throughput capacity: Even though DynamoDB distributes a large table s data across multiple physical partitions, a Scan operation can only read one partition at a time. For this reason, the throughput of a is constrained by the maximum throughput of a single partition.
To address these issues, the Scan operation can logically divide a table or secondary index into multiple segments, with multiple application workers scanning the segments in parallel. Each worker can be a thread (in programming languages that support multithreading) or an operating system process.
A parallel scan with a large number of workers can easily consume all of the provisioned throughput for the table or index being scanned. It is best to avoid such scans if the table or index is also incurring heavy read or write activity from other applications.
To control the amount of data returned per request, use the Limit parameter. This can help prevent situations where one worker consumes all of the provisioned throughput, at the expense of all other workers.

NEW QUESTION: 3

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