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NEW QUESTION: 1
Section A (1 Mark)
During the past five years, the returns of a stock were as follows:
Calculate the expected rate of return
A. 7.40%
B. 8.50%
C. 6.80%
D. 9.23%
Answer: A
NEW QUESTION: 2
Function Point Analysis (FPA) provides an estimate of the size of an information system based only on the number and complexity of a system's inputs and outputs. True or false?
A. False
B. True
Answer: A
Explanation:
Explanation/Reference:
Function point analysis (FPA) provides an estimate of the size of an information system based on the number and complexity of a system's inputs, outputs, and files.
NEW QUESTION: 3
Which of the following are NOT acceptable ways to create a secure password hash in PHP? (Choose two.)
A. md5()
B. crypt()
C. hash_pbkdf2()
D. password_hash()
E. openssl_digest()
Answer: A,E
NEW QUESTION: 4
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. Use parallel scans while limiting the rate
B. Increase read capacity units during the scan operation
C. Use sequential scans
D. Change consistency to eventually consistent during the scan operation
Answer: A
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.