Exam DP-201 topic 2 question 31 discussion

DRAG DROP -
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.
Select and Place:

Suggested Answer:
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.
Reference:
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