Online Access Free 070-775 Exam Questions

You have an Azure HDInsight cluster.
You need to store data in a file format that maximizes compression and increases read performance.
Which type of file format should you use?

• A.Apache Sequence
• B.Apache Parquet
• C.ORC
• D.Apache Avro

DRAG DROP
You have an Apache Hive cluster in Azure HDInsight.
You need to tune a Hive query to meet the following requirements:
Use the Tez engine.
Process 1,024 rows in a batch.
How should you complete the query? To answer, drag the appropriate values to the correct targets.
Each value 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.

Correct Answer:

You have an Apache Hadoop cluster in Azure HDInsight that has a head node and three data nodes. You have a MapReduce job.
You receive a notification that a data node failed.
You need to identify which component cause the failure.
Which tool should you use?

• A.TaskTracker
• B.ResourceManager
• C.ApplicationMaster
• D.JobTracker

You have an Apache Hive cluster in Azure HDInsight.
You plan to ingest on-premises data into Azure Storage.
You need to automate the copying of the data to Azure Storage.
Which tool should you use?

• A.Microsoft Azure Storage Explorer
• B.Azure Import/Export Service
• C.Azure Backup
• D.AzCopy

Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are implementing a batch processing solution by using Azure HDInsight.
You have a workflow that retrieves data by using a U-SQL query.
You need to provide the ability to query and combine data from multiple data sources.
What should you do?

• A.Use an Azure Data Factory linked service that stores the data in an Azure DocumentDB database.
• B.Use an Azure Data Factory linked service that stores the data in Azure Data Lake.
• C.Increase the number of spark.executor.cores in an Apache Spark job that stores the data in a text format.
• D.Use a broadcast join in an Apache Hive query that stores the data in an ORC format.
• E.Use a shuffle join in an Apache Hive query that stores the data in a JSON format.
• F.Increase the number of spark.executor.instances in an Apache Spark job that stores the data in a text format.
• G.Decrease the level of parallelism in an Apache Spark job that stores the data in a text format.
• H.Use an action in an Apache Oozie workflow that stores the data in a text format.