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NEW QUESTION: 1
Which of the following statements best describes an appropriate approach for managing exploratory testing?
Number of correct responses: 1
K2 1 credit
A. Exploratory testing should not be managed because such testing is inherently unmanageable and not measurable
B. Break the testing work in 30 to 120 minutes sessions and use properly defined mission statements consisting of two or three sentences to guide testing during these sessions
C. Define very detailed mission statements, which allow testing work to be broken into sessions of up to 10 minutes duration in which testing is guided by these mission statements
D. Define very generic charters to drive exploratory testing sessions of 2 days where testers are completely free to decide what to test
Answer: B
NEW QUESTION: 2
You are working as a help desk analyst and receive a call from the network administrator informing you that a server is down. Which action should you perform first?
A. Troubleshoot the problem yourself
B. Wait for customers to call the help desk
C. Call all customers that use the server
D. Inform the other help desk analysts
Answer: D
NEW QUESTION: 3
Which P0WER8 feature can provide increased system performance?
A. POWER7 processor mode
B. Energy Scale Technology
C. TPMD (Thermal Power Management Device)
D. CAPI
Answer: D
Explanation:
IT organizations must provide increased system performance as their workloads grow with demands for big data analysis, social media applications, continuous customer connectivity, and business-specific applications. Increases in processor performance alone cannot satisfy the workload demands, so solutions must also come from system-level advances such as hybrid computing, processing engine customization, and open platform development that enables cross-company innovation.
The Coherent Accelerator Processor Interface (CAPI) on IBM@ POWER8 systems provides solution architects with a new way to gain system-level performance. CAPI connects a custom acceleration engine to the coherent fabric of the POWER8 chip. The hybrid solution has a simple programming paradigm while delivering performance well beyond today's I/O attached acceleration engines.
NEW QUESTION: 4
A data engineer is running a DWH on a 25-node Redshift cluster of a SaaS service. The data engineer needs to build a dashboard that will be used by customers. Five big customers represent 80% of usage, and there is a long tail of dozens of smaller customers. The data engineer has selected the dashboarding tool.
How should the data engineer make sure that the larger customer workloads do NOT interfere with the smaller customer workloads?
A. Apply query filters based on customer-id that can NOT be changed by the user and apply distribution keys on customer id
B. Place the largest customers into a single user group with a dedicated query queue and place the rest of the customer into a different query queue
C. Route the largest customers to a dedicated Redshift cluster, Raise the concurrency of the multi-tenant Redshift cluster to accommodate the remaining customers
D. Push aggregations into an RDS for Aurora instance. Connect the dashboard application to Aurora rather than Redshift for faster queries
Answer: B
Explanation:
Explanation
https://docs.aws.amazon.com/redshift/latest/dg/c_workload_mngmt_classification.html