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NEW QUESTION: 1
A P8 Administrator has been tasked with enabling verbose garbage collection (GC) for the IBM WebSphere Application Server (WAS).
How is verbose GC enabled and what log file contains the data?
A. Verbose GC can be enabled via the WAS Admin Console. The verbose GC data will default to the native_stderr.log file for AIX, Microsoft Windows, and Linux operating systems.
B. Verbose GC can be enabled via the WAS Admin Console. The verbose GC data will default to the SystemOut.log file for AIX, Microsoft Windows, and Linux operating systems.
C. Verbose GC can be enabled as a command-line parameter only. The verbose GC data will default to the native_stderr.log file for AIX, Microsoft Windows, and Linux operating systems.
D. Verbose GC can be enabled via the WAS Admin Console. The verbose GC data will default to the SystemOut.log file for AIX, Microsoft Windows, Solaris, and Linux operating systems.
Answer: D

NEW QUESTION: 2

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

NEW QUESTION: 3
You are designing a Windows Azure application that will use Windows Azure Table storage. The application will allow teams of users to collaborate on projects. Each user is a member of only one team.
You have the following requirements:
-Ensure that each user can efficiently query records related to his or her team's projects.
-Minimize data access latency.
You need to recommend an approach for partitioning table storage entities. What should you recommend?
A. Partition by user
B. Partition by project
C. Partition by team
D. Partition by the current date
Answer: C
Explanation:
Partitions represent a collection of entities with the same PartitionKey values. Partitions are always served from one partition server and each partition server can serve one or more partitions. A partition server has a rate limit of the number of entities it can serve from one partition over time.
References: https://docs.microsoft.com/en-us/rest/api/storageservices/Designing-a-Scalable- Partitioning-Strategy-for-Azure-Table-Storage?redirectedfrom=MSDN

NEW QUESTION: 4
Your customer wants to capture multiple GBs of aggregate real-time key performance indicators (KPIs) from their game servers running on Google Cloud Platform and monitor the KPIs with low latency. How should they capture the KPIs?
A. Schedule BigQuery load jobs to ingest analytics files uploaded to Cloud Storage every ten minutes, and visualize the results in Google Data Studio.
B. Store time-series data from the game servers in Google Bigtable, and view it using Google Data Studio.
C. Insert the KPIs into Cloud Datastore entities, and run ad hoc analysis and visualizations of them in Cloud Datalab.
D. Output custom metrics to Stackdriver from the game servers, and create a Dashboard in Stackdriver Monitoring Console to view them.
Answer: B
Explanation:
Reference:https://cloud.google.com/solutions/data-lifecycle-cloud-platform