70-775 무료 덤프문제 온라인 액세스
| 시험코드: | 70-775 |
| 시험이름: | Perform Data Engineering on Microsoft Azure HDInsight |
| 인증사: | Microsoft |
| 무료 덤프 문항수: | 63 |
| 업로드 날짜: | 2026-09-03 |
DRAG DROP
You are evaluating the use of Azure HDInsight clusters for various workloads.
Which type of HDInsight cluster should you create for each workload? To answer, drag the appropriate cluster types to the correct workloads. Each cluster type 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.
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 need to ensure that the analysts can query the logistics data by using JDBC APIs and SQL APIs.
Which technology should you implement?
You deploy Apache Kafka to an Azure HDInsight cluster.
You plan to load data into a topic that has a specific schem
a.
You need to load the data while maintaining the existing schema.
Which file format should you use to receive the data?
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?
You are configuring an Apache Phoenix operation on top of an Apache HBase server. The operation executes a statement that joins an Apache Hive table and a Phoenix table.
You need to ensure that when the table is dropped, the table files are retained, but the table metadata is removed from the Apache HCatalog.
Which type of table should you use?