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NEW QUESTION: 1
AzureWebJobsを開発しています。
シナリオごとにWebJobタイプを推奨する必要があります。
どのWebJobタイプをお勧めしますか?答えるには、適切なWebJobタイプを正しいシナリオにドラッグします。各WebJobタイプは、1回使用することも、複数回使用することも、まったく使用しないこともできます。コンテンツを表示するには、分割バーをペイン間でドラッグするか、スクロールする必要がある場合があります。
注:正しい選択はそれぞれ1ポイントの価値があります。
Answer:
Explanation:
Explanation
Box 1: Continuous
Continuous runs on all instances that the web app runs on. You can optionally restrict the WebJob to a single instance.
Box 2: Triggered
Triggered runs on a single instance that Azure selects for load balancing.
Box 3: Continuous
Continuous supports remote debugging.
Note:
The following table describes the differences between continuous and triggered WebJobs.
References:
https://docs.microsoft.com/en-us/azure/app-service/web-sites-create-web-jobs
NEW QUESTION: 2
Universal Containers created a custom object called Defect and would like to enable the Sharing button on the Defect page layout to share the records manually to other users in the organization. In which scenario will the Sharing button appear?
A. The Sharing button always appears.
B. The Sharing model is either Private or Public Read only.
C. The Sharing model is Public Read/Write/Transfer.
D. The Sharing model is Public Read/Write.
Answer: B
NEW QUESTION: 3
Which two options can administrators customize on the Home page? (Select two.)
A. number of report
B. Favorite Reports
C. Common Tasks
D. auto-refresh rate
E. types of endpoints listed
Answer: B,D
NEW QUESTION: 4
You are designing a Spark job that performs batch processing of daily web log traffic.
When you deploy the job in the production environment, it must meet the following requirements:
* Run once a day.
* Display status information on the company intranet as the job runs.
You need to recommend technologies for triggering and monitoring jobs.
Which technologies should you recommend? To answer, drag the appropriate technologies to the correct locations. Each technology may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Livy
You can use Livy to run interactive Spark shells or submit batch jobs to be run on Spark.
Box 2: Beeline
Apache Beeline can be used to run Apache Hive queries on HDInsight. You can use Beeline with Apache Spark.
Note: Beeline is a Hive client that is included on the head nodes of your HDInsight cluster. Beeline uses JDBC to connect to HiveServer2, a service hosted on your HDInsight cluster. You can also use Beeline to access Hive on HDInsight remotely over the internet.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-livy-rest-interface
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/apache-hadoop-use-hive-beeline