070-775 問題集、70-775 関連資格試験対応
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試験番号：070-775試験科目：「Perform Data Engineering on Microsoft Azure HDInsight」
一年間無料で問題集をアップデートするサービスを提供いたします
最近更新時間：2017-09-03
問題と解答：全35問 070-775 問題集
試験番号：70-775試験科目：「Perform Data Engineering on Microsoft Azure HDInsight」
一年間無料で問題集をアップデートするサービスを提供いたします
最近更新時間：2017-09-03
問題と解答：全35問 70-775 関連資格試験対応
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NO.1 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. bucket sampling
B. parallel execution
C. dynamic partitioning
D. static partitioning
Answer: D
70-775 スキル 70-775 認証
NO.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.
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.
You need to ensure that the support analysts can develop embedded analytics applications by using
the least amount of development effort.
Which technology should you implement?
A. Zeppelin
B. Livy
C. Apache Ambari
D. Jupyter
Answer: D
70-775 攻略
NO.3 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. Increase the number of spark.executor.cores in an Apache Spark job that stores the data in a text
format.
B. Use a broadcast join in an Apache Hive query that stores the data in an ORC format.
C. Use an action in an Apache Oozie workflow that stores the data in a text format.
D. Use an Azure Data Factory linked service that stores the data in Azure Data lake.
E. Use an Azure Data Factory linked service that stores the data In an Azure DocumentDB database.
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 Mores the data in a text format.
H. Use a shuffle join in an Apache Hive query that stores the data in a JSON format.
Answer: E
70-775 合格
NO.4 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 this query? To answer, drag the appropriate values to the correct targets.
Answer:
