Free Microsoft 70-775 Exam Dumps Questions & Answers
| Exam Code/Number: | 70-775Join the discussion |
| Exam Name: | Perform Data Engineering on Microsoft Azure HDInsight |
| Certification: | Microsoft |
| Free Question Number: | 63 |
| Publish Date: | Aug 13, 2026 |
| # of views: | 3288 |
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You have an Apache Interactive Hive cluster in Azure HDInsight. The cluster has 12 processors and 96 GB of RAM. The YARN container size is set to 2 GB and the Tez container size is 3 GB.
You configure one Tez container per processor.
You are performing map joints between a 2-GB dimension table and a 96-GB fact table.
You experience slow performance due to an inadequate utilization of the available resources.
You need to ensure that the map joins are used.
Which two settings should you configure? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
You have an Apache HBase cluster in Azure HDInsight.
You plan to use Apache Pig, Apache Hive, and HBase to access the cluster simultaneously and to process data stored in a single platform.
You need to deliver consistent operations, security, and data governance.
What should you use?
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 need to deploy an enterprise data warehouse that will support in-memory analytics. The data warehouse must support connections that use the Microsoft Hive ODBC Driver and Beeline. The data warehouse will be managed by using Apache Amrabi only.
What should you do?
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 two tables. Each table is larger than 250 TB. Both tables have approximately the same number of rows and columns.
You need to match the tables based on a key column. You must minimize the size of the data table that is produced.
What should you do?
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 have an initial dataset that contains the crime data from major cities.
You plan to build training models from the training dat
a. You plan to automate the process of adding more data to the training models and to constantly tune the models by using the additional data, including data that is collected in near real-time. The system will be used to analyze event data gathered from many different sources, such as Internet of Things (IoT) devices, live video surveillance, and traffic activities, and to generate predictions of an increased crime risk at a particular time and place.
You have an incoming data stream from Twitter and an incoming data stream from Facebook, which are event-based only, rather than time-based. You also have a time interval stream every 10 seconds.
The data is in a key/value pair format. The value field represents a number that defines how many times a hashtag occurs within a Facebook post, or how many times a Tweet that contains a specific hashtag is retweeted.
You must use the appropriate data storage, stream analytics techniques, and Azure HDInsight cluster types for the various tasks associated to the processing pipeline.
You use Spark Streaming for the real-time ingestion of Twitter feeds.
You need to apply transformation functions to the incoming data.
Which transformation function should you use for each use case? To answer, drag the appropriate functions to the correct cases. Each function 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.
