Free Microsoft 70-775 Exam Dumps Questions & Answers

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.  Increase the number of spark.executor.cores in an Apache Spark job that stores the data in a text format.
• B.  Decrease the level of parallelism in an Apache Spark job that stores the data in a text format.
• C.  Use an action in an Apache Oozie workflow 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.  Use an Azure Data Factory linked service that stores the data in Azure Data Lake.
• G.  Increase the number of spark.executor.instances in an Apache Spark job that stores the data in a text format.
• H.  Use an Azure Data Factory linked service that stores the data in an Azure DocumentDB database.

Note: This question is part of a series of questions that present the same Scenario.
Each question I the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution while others might not have correct solution.
You are implementing a batch processing solution by using Azure HDInsight.
You plan to import 300 TB of data.
You plan to use one job that has many concurrent tasks to import the data in memory.
You need to maximize the amount of concurrent tanks for the job.
What should you do?

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

DRAG DROP
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
You are planning a big data infrastructure by using an Apache Spark cluster in Azure HDInsight. The cluster has 24 processor cores and 512 GB of memory.
The architecture of the infrastructure is shown in the exhibit. (Click the Exhibit button.)

The architecture will be used by the following users:
Support analysts who run applications that will use REST to submit Spark jobs.
Business analysts who use JDBC and ODBC client applications from a real-time view. The business analysts run monitoring queries to access aggregate results for 15 minutes. The results will be referenced by subsequent queries.
Data analysts who publish notebooks drawn from batch layer, serving layer, and speed layer queries. All of the notebooks must support native interpreters for data sources that are batch processed. The serving layer queries are written in Apache Hive and must support multiple sessions. Unique GUIDs are used across the data sources, which allow the data analysts to use Spark SQL.
The data sources in the batch layer share a common storage container. The following data sources are used:
Hive for sales data
Apache HBase for operations data
HBase for logistics data by using a single region server
The business analysts require queries to monitor the sales dat
a. The queries must be faster and more interactive than the batch layer queries.
You need to create a new infrastructure to support the queries. The solution must ensure that you can tune the cache policies of the queries.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Correct Answer:

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Apache Pig table named Sales in Apache HCatalog.
You need to make the data in the table accessible from Apache Pig.
Solution: You use the following script.

Does this meet the goal?

• A.  Yes
• B.  No

You have an Apache Spark cluster in Azure HDInsight.
Users report that Spark jobs take longer than expected to complete.
You need to reduce the amount of time it takes for the Spark jobs to complete.
What should you do?

• A.  From Spark, modify the spark_thrift_cmd_opts parameter.
• B.  From YARN, modify the container size setting.
• C.  From HDFS, modify the maximum thread setting.
• D.  From Spark, modify the spark.executor.cores parameter.