| Exam Code/Number: | 070-775Join the discussion |
| Exam Name: | Perform Data Engineering on Microsoft Azure HDInsight |
| Certification: | Microsoft |
| Question Number: | 63 |
| Publish Date: | May 28, 2026 |
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You are configuring the Hive views on an Azure HDInsight cluster that is configured to use Kerberos.
You plan to use the YARN logs 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?
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 plan to deploy HDInsight applications and to have custom Apache Hive and Apache Oozie metastores.
You need to create an HDInsight cluster that supports joining a domain and accessing Azure Data Lake Store.
What should you do?
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
You plan to create a new HBase table to collect the operations dat
a. The workload will be distributed across regional servers. Apache Phoenix will be used on top of HBase for the operations data.
You need to ensure that write operations are distributed across the regional servers.
Which setting should you configure when you create the table?
You create a Linux-based Azure HDInsight cluster by using the Azure portal.
You plan to use Microsoft Power Query for Excel to debug a job failure.
You need to identify all of the components that failed for the head node.
Which component contains the log files?
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?
