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NEW QUESTION: 1
Your client has asked for a report on service contract history. What is the easiest way to identify the
correct fields needed in the report?
Please choose the correct answer.
Response:
A. With a service contract in the active window, open the Query W izar It will automatically show the
table and field names for the active window.
B. Reference the DI-API online help the see the table and field names for the service contract object.
C. Open a service contract document and right-mouse click on a field to see the table and field name.
D. Open a service contract and toggle the System Information view to see the table and field names at the
bottom of the screen.
Answer: D
NEW QUESTION: 2
Your team maintains the infrastructure for your organization. The current infrastructure requires changes. You need to share your proposed changes with the rest of the team. You want to follow Google's recommended best practices. What should you do?
A. Use Deployment Manager templates to describe the proposed changes and store them in a Cloud Storage bucket.
B. Apply the change in a development environment, run gcloud compute instances list, and then save the output in Cloud Source Repositories.
C. Use Deployment Manager templates to describe the proposed changes and store them in Cloud Source Repositories.
D. Apply the change in a development environment, run gcloud compute instances list, and then save the output in a shared Storage bucket.
Answer: C
NEW QUESTION: 3
実稼働環境の初期設定からWebLogicのJDBC接続プールを調整するために実行する必要がある3つの手順は何ですか。
A. 最大サイズが適切な設定に増加していることを確認します。
B. 接続プールの最小サイズと最大サイズを同じ値に設定します。
C. ステートメントのキャッシュサイズを増やします。
D. JVMにヒープを追加します。
E. クラスターにノードを追加します。
Answer: A,C,E
Explanation:
A:
*Troubleshooting Slow Response Time from the Client and Low Database Usage
These symptoms are usually caused by a bottleneck upstream of the database, perhaps in the
JDBC connectionpooling. Monitor the active JDBC connections in the WebLogic Console and
watch for excessive waiters and wait times; increase the pool size, if necessary.
*Attribute: Maximum Capacity
Maximum number of physical database connections that this connection pool can contain.
Different JDBC Drivers and database servers may limit the number of possible physical
connections.
C: Attribute: Statement Cache Size
The algorithm used to maintain the statement cache:
LRU - After the statementCacheSize is met, the Least Recently Used statement is removed when a new statement is used.
Fixed - The first statementCacheSize number of statements is stored and stay fixed in the cache. No new statements are cached unless the cache is manually cleared.
E: If the queue appears starved but adding execute threads does not improve performance, there may be resource contention. Because CPU utilization is low, the threads are probably spending much of their time waiting for some resource, quite often a database connection. Use the JDBC monitoring facilities in the console to check for high levels of waiters or long wait times. Adding connections to the JDBC connection pool may be all that is required to fix the problem.
Note:
* If you had a JDBC connection pool where the Initial Capacity and Maximum Capacity attributes were different, you might want to create a gauge monitor to monitor the maximum and minimum number of connections. By setting the Threshold Low value to be one less than the Initial Capacity, your gauge monitor trapcould monitor the ActiveConnectionsCurrentCount attribute of the JDBCDataSourceRuntime MBean and alert you whenever the number of active connections are less than the Initial Capacity (which might indicate database connectivity problems).
NEW QUESTION: 4
You have an Azure subscription named Subscription1.
You deploy a Linux virtual machine named VM1 to Subscription1.
You need to monitor the metrics and the logs of VM1.
What should you use?
A. Azure Analysis Services
B. Azure HDInsight
C. LAD 3.0
D. the AzurePerformanceDiagnostics extension
Answer: D
Explanation:
You can use extensions to configure diagnostics on your VMs to collect additional metric data.
The basic host metrics are available, but to see more granular and VM-specific metrics, you need to install the Azure diagnostics extension on the VM. The Azure diagnostics extension allows additional monitoring and diagnostics data to be retrieved from the VM.
References:
https://docs.microsoft.com/en-us/azure/virtual-machines/linux/tutorial-monitoring