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NEW QUESTION: 1
Which two options are additional metrics, beyond KPIs, that can be considered to measure success? (Choose two.)
A. Technology adoption.
B. Price increases.
C. Reduced implementation timelines.
D. Customer loyalty.
Answer: B,D
NEW QUESTION: 2
A bank assesses its current imaging needs and determines that it must install a more robust imaging system to be fully functional three months before the end of its financial year. The mainrequirement is to ensure that all data is collected prior to its yearly audit. Which of the following situations will
LEAST threaten the bank's objective?
A. Scope creep resulting from inadequate determination of requirements.
B. Quality problems causing reworking of data.
C. Under-resourcing causing time slippage and missed milestones.
D. Cost escalation due to increased labor to meet the deadline.
Answer: D
Explanation:
The answer should be "B" because if it is "A" then you would have to spend more time and more money. If the answer was "B," it is only money, and time is the critical issue.
NEW QUESTION: 3
A Developer is working on an application that tracks hundreds of millions of product reviews in an Amazon DynamoDB table. The records include the data elements shown in the table:
Which field, when used as the partition key, would result in the MOST consistent performance using DynamoDB?
A. starRating
B. reviewID
C. comment
D. productID
Answer: D
Explanation:
Explanation
Refer AWS documentation - DynamoDB Design partition key
The partition key portion of a table's primary key determines the logical partitions in which a table's data is stored. This in turn affects the underlying physical partitions. Provisioned I/O capacity for the table is divided evenly among these physical partitions. Therefore a partition key design that doesn't distribute I/O requests evenly can create "hot" partitions that result in throttling and use your provisioned I/O capacity inefficiently.
The optimal usage of a table's provisioned throughput depends not only on the workload patterns of individual items, but also on the partition-key design. This doesn't mean that you must access all partition key values to achieve an efficient throughput level, or even that the percentage of accessed partition key values must be high. It does mean that the more distinct partition key values that your workload accesses, the more those requests will be spread across the partitioned space. In general, you will use your provisioned throughput more efficiently as the ratio of partition key values accessed to the total number of partition key values increases.
