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NEW QUESTION: 1
You need to see all of the cases that were canceled.
What should you do?
A. Perform a Global Search and save a personal view.
B. Perform an Advanced Find and save a personal view.
C. Review the Audit log.
D. Export all of the queue items to a Microsoft Excel file.
Answer: B

NEW QUESTION: 2
シミュレーション
5分間の評価でaz400-9940427-mainという名前のAzureWebアプリのピーク平均応答時間が5秒を超える場合は、通知を作成する必要があります。通知は「https://contoso.com/notify」Webhookをトリガーする必要があります。
このタスクを完了するには、MicrosoftAzureポータルにサインインします。
A. MicrosoftAzureポータルを開く
2. Azureアカウントにログインし、App Serviceに移動して、[監視]の下を確認すると、アラートが表示されます。
3. [アラートルールの追加]を選択します
4.以下のようにアラートルールを構成し、[OK]をクリックします。
出典：メトリクスに関するアラート
リソースグループ：az400-9940427-main
リソース：az400-9940427-main
しきい値：5
期間：過去5分間
Webhook：https：//contoso.com/notify

B. 1。MicrosoftAzureポータルを開きます
2. Azureアカウントにログインし、App Serviceに移動して、[監視]の下を確認すると、アラートが表示されます。
3. [アラートルールの追加]を選択します
4.以下のようにアラートルールを構成し、[OK]をクリックします。
出典：メトリクスに関するアラート
リソースグループ：az400-9940427-main
リソース：az400-9940427-main
しきい値：5
期間：過去5分間
Webhook：https：//contoso.com/notify

Answer: A
Explanation:
References:
https://azure.microsoft.com/es-es/blog/webhooks-for-azure-alerts/

NEW QUESTION: 3
A company is running a commercial Apache Hadoop cluster on Amazon EC2. This cluster is being used daily to query large files on Amazon S3. The data on Amazon S3 has been curated and does not require any additional transformations steps. The company is using a commercial business intelligence (BI) tool on Amazon EC2 to run queries against the Hadoop cluster and visualize the data.
The company wants to reduce or eliminate the overhead costs associated with managing the Hadoop cluster and the BI tool. The company would like to remove to a more cost-effective solution with minimal effort. The visualization is simple and requires performing some basic aggregation steps only.
Which option will meet the company's requirements?
A. Use a commercial extract, transform, load (ETL) tool that runs on Amazon EC2 to prepare the data for processing. Then switch to a faster and cheaper Bl tool that runs on Amazon EC2 to visualize the data from Amazon S3.
B. Launch a transient Amazon EMR cluster daily and develop an Apache Hive script to analyze the files on Amazon S3. Shut down the Amazon EMR cluster when the job is complete. The use the Amazon QuickSight to connect to Amazon EMR and perform the visualization.
C. Develop a script that uses Amazon Athena to query and analyze the files on Amazon S3. Then use Amazon QuickSight to connect to Athena and perform the visualization.
D. Develop a stored procedure invoked from a MySQL database running on Amazon EC2 to analyze EC2 to analyze the files in Amazon S3. Then use a fast in-memory BL tool running on Amazon EC2 to visualize the data.
Answer: C
Explanation:
A\B\D: Not minimum effort.
C: QuickSight can connect to Athena, S3, text files, Excel, Salesforce, Amazon Redshift, Amazon RDS, Amazon EC2, or other database data sources. Athena is easy to use. Simply point to your data in Amazon S3, define the schema, and start querying using standard SQL. Most results are delivered within seconds. With Athena, there's no need for complex ETL jobs to prepare your data for analysis. This makes it easy for anyone with SQL skills to quickly analyze large-scale datasets.
https://docs.aws.amazon.com/quicksight/latest/user/create-a-data-set-athena.html
https://aws.amazon.com/athena/

NEW QUESTION: 4
Your customer's requirement is to pay employees within each of their three business units from a different bank account. Which three setup steps should you complete? (Choose three.)
A. Create three organization payment methods each with a different payment source.
B. Write a formula to retrieve the employees business unit details.
C. Create a Default Payer Element with a Payment Criteria input value.
D. Create one organization payment method with three payments sources and define three payment method rules based on each business unit.
Answer: B,C,D