Simulation 70-775 Exam Questions and Answers 2021

NEW QUESTION 1
DRAG DROP
You have a domain-joined Azure HDInsight cluster. You plan to assign permissions to several support staff.
You need to assign roles to the staff so that they can perform specific tasks.
The solution must use the principle of least privilege.
Which role should you assign for each task? To answer, drag the appropriate roles to the correct tasks. Each role 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:

NEW QUESTION 2
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 need to deploy a NoSQL database to an HDInsight cluster. You will manage the servers that host the database by using Remote Desktop. The database must use the key/value pair format in a columnar model.
What should you do?

• A. Use an Azure PowerShell Script to create and configure a premium HDInsight cluste
• B. Specify Apache Hadoop as the cluster type and use Linux as the operating System.
• C. Use the Azure portal to create a standard HDInsight cluste
• D. Specify Apache Spark as the cluster type and use Linux as the operating system.
• E. Use an Azure PowerShell script to create a standard HDInsight cluste
• F. Specify Apache HBase as the cluster type and use Windows as the operating system.
• G. Use an Azure PowerShell script to create a standard HDInsight cluste
• H. Specify Apache Storm as the cluster type and use Windows as the operating system.
• I. Use an Azure PowerShell script to create a premium HDInsight cluste
• J. Specify Apache HBase as the cluster type and use Windows as the operating system.
• K. Use an Azure portal to create a standard HDInsight cluste
• L. Specify Apache Interactive Hive as the cluster type and use Windows as the operating system.
• M. Use an Azure portal to create a standard HDInsight cluste
• N. Specify Apache HBase as the cluster type and use Windows as the operating system.

Answer: G

Explanation: References: https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hbase-overview

NEW QUESTION 3
You have an Apache Spark cluster in Azure HDInsight. You plan to join a large table and a lookup table.
You need to minimize data transfers during the join operation. What should you do?

• A. Use the reduceByKey function
• B. Use a Broadcast variable.
• C. Repartition the data.
• D. Use the DISK_ONLY storage level.

Answer: B

NEW QUESTION 4
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 HDlnsight. You have a table that contains sales data.
You plan to implement a query that will return the number of orders by zip code.
You need to minimize the execution time of the queries and to maximize the compression level of the resulting data.
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 Mores 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 DocumentDBdatabase.

Answer: B

NEW QUESTION 5
DRAG DROP
You are evaluating the use of Azure HDInsight clusters for various workloads. Which type of HDInsight cluster should you create for each workloads?

Answer:

Explanation: https://www.blue-granite.com/blog/how-to-choose-the-right-hdinsight-cluster

NEW QUESTION 6
You have an Apache Spark cluster in Azure HDInsight.
You execute the following command,

What is the result of running the command?

• A. the Hive ORC library is imported to Spark and external tables in ORC format are created.
• B. the Spark library is imported and the data is loaded to an Apache Hive table.
• C. the Hive ORC library is imported to Spark arid the ORC-formatted data stored in Apache Hive tables becomes accessible
• D. the Spark library is imported and Scala functions are executed

Answer: C

NEW QUESTION 7
You have on 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: https://www.qubole.com/blog/5-tips-for-efficient-hive-queries/

NEW QUESTION 8
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.
Start of Repeated Scenario:
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:

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 quires to access aggregate result for 15 minutes. The result will be referenced by subsequent quires.
* 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 bath 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 suing a single region server.
End of Repeated scenario.
The business analysts report that they experience performance issues when they run the monitoring queries.
You troubleshoot the performance issues and discover that the intermediate tables generated when the analysts run the queries cause pressure for the Java Virtual Machine (JVM) garbage collection per job.
Which configuration settings should you modify to alleviate the performance issues?

• A. spark.sql.inMemoryColumnarStorage.batchSize
• B. spark.sql.broadcaseTimeout
• C. spark.sql.files.openCostInBytes
• D. spark.sql.shuffle.partitions

Answer: D

NEW QUESTION 9
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 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 two new consumers. Create a file import process to send messages. Start the producer.
Does this meet the goal?

• A. Yes
• B. No

Answer: B

NEW QUESTION 10
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 HDlnsight. You have a 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 Mores 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-linkedservices

NEW QUESTION 11
DRAG DROP
You have a domain joined Apache Hadoop cluster in Azure HDInsight named hdicluster. The Linux account for hdicluster is named Inxuser.
Your Active Directory account is names user1@fabrikam.com. You need to run Hadoop commands from an SSH session.
Which credentials should you use? To answer, drag the appropriate credentials to the correct commands. Each credential 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.

Answer:

Explanation: References: https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-linux-usessh-unix

NEW QUESTION 12
You use YARN to manage the resources for a Spark Thrift Server running on a Linux based Apache Spark cluster in Azure HDInsight.
You discover that the cluster does not fully utilize the resources. You want to increase resource allocation. You need to increase the number of executors and the allocation of memory to the Spark Thrift Server driver.
Which two parameters should you modify? Each correct answer presents part of the solution NOTE: Each correct selection is worth one point.

• A. spark.dynamicAllocation.maxExecutors
• B. spark.cores.max
• C. spark.executor.memory
• D. spark_thrift_cmd_opts
• E. spark.executor.instances

Answer: AC

Explanation: References: https://stackoverflow.com/questions/37871194/how-to-tune-spark-executornumber-cores-and-executor-memory

NEW QUESTION 13
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

NEW QUESTION 14
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 HDlnsight.
You need to integrate Apache Sqoop data and to chain complex jobs. The data and jobs will implement MapReduce. 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 Mores 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: F

NEW QUESTION 15
You have an Azure HDlnsight cluster.
You need to build a solution to ingest real-time streaming data into nonrelational distributed database.
What should you use to build the solution?

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

Answer: C

NEW QUESTION 16
You are configuring the Hive views on an Azure HDInsight cluster that is configured to use Kerberos.
You plan to use the YARN loos to troubleshoot a query that runs against Apache Hadoop. You need to view the method, the service, and the authenticated account used to run the query. Which method call should you view in the YARN logs?

• A. HQL
• B. WebHDFS
• C. HDFS C* API
• D. Ambari REST API

Answer: D

NEW QUESTION 17
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. ORC
• B. Apache Parquet
• C. Apache Avro
• D. Apache Sequence

Answer: A

Explanation: https://docs.microsoft.com/en-us/azure/data-factory/data-factory-supported-file-and-compression-formats