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70-775 exam questions, 70-775 PDF dumps; 70-775 exam dumps:: https://www.dumpsschool.com/70-775-exam-dumps.html (35 Q&A) (New Questions Are 100% Available! Also Free Practice Test Software!)

Latest Microsoft 70-775 Dumps Exam Questions and Answers:

Version: 9.0
Question: 21

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 data stored in Azure.
You need to ensure that you can access the data by using Azure Active Directory (Azure AD) identities.
What should you do?

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

Answer: G

Explanation:
References:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-datasets-linked-services

Question: 22

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 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 tasks for the job.
What should you do?

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

Answer: C

Explanation:
References:

How-to: Tune Your Apache Spark Jobs (Part 2)

Question: 23

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 are building a security tracking solution in Apache Kafka to parse security logs. The security logs record an entry each time a user attempts to access an application. Each log entry contains the IP address used to make the attempt and the country from which the attempt originated.
You need to receive notifications when an IP address from outside of the United States is used to access the application.
Solution: Create new topics. Create a file import process to send messages. Start the consumer and run the producer.
Does this meet the goal?

A. Yes
B. No

Answer: A

Question: 24

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 are building a security tracking solution in Apache Kafka to parse security logs. The security logs record an entry each time a user attempts to access an application. Each log entry contains the IP address used to make the attempt and the country from which the attempt originated.
You need to receive notifications when an IP address from outside of the United States is used to access the application.
Solution: Create a consumer and a broker. Create a file import process to send messages. Run the producer.
Does this meet the goal?

A. Yes
B. No

Answer: B

Question: 25

You have an Apache Hive table that contains one billion rows.
You plan to use queries that will filter the data by using the WHERE clause. The values of the columns will be known only while the data loads into a Hive table.
You need to decrease the query runtime.
What should you configure?

A. static partitioning
B. bucket sampling
C. parallel execution
D. dynamic partitioning

Answer: C

Explanation:
References:

5 Tips for efficient Hive queries with Hive Query Language

Question: 26

You have an Azure HDInsight cluster.
You need a build a solution to ingest real-time streaming data into a nonrelational distributed database.
What should you use to build the solution?

A. Apache Hive and Apache Kafka
B. Spark and Phoenix
C. Apache Storm and Apache HBase
D. Apache Pig and Apache HCatalog

Answer: C

Explanation:
References:
http://storm.apache.org/
http://hbase.apache.org/

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