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Download Data Engineering on Microsoft Azure Exam Dumps
NEW QUESTION 23
You have an enterprise data warehouse in Azure Synapse Analytics named DW1 on a server named Server1.
You need to determine the size of the transaction log file for each distribution of DW1.
What should you do?
- A. Execute a query against the logs of DW1 by using the
Get-AzOperationalInsightsSearchResult PowerShell cmdlet. - B. On DW1, execute a query against the sys.database_files dynamic management view.
- C. On the master database, execute a query against the
sys.dm_pdw_nodes_os_performance_counters dynamic management view. - D. From Azure Monitor in the Azure portal, execute a query against the logs of DW1.
Answer: B
Explanation:
For information about the current log file size, its maximum size, and the autogrow option for the file, you can also use the size, max_size, and growth columns for that log file in sys.database_files.
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/logs/manage-the-size-of-the-transaction-log-file
NEW QUESTION 24
You are designing an Azure Data Lake Storage solution that will transform raw JSON files for use in an analytical workload.
You need to recommend a format for the transformed files. The solution must meet the following requirements:
Contain information about the data types of each column in the files.
Support querying a subset of columns in the files.
Support read-heavy analytical workloads.
Minimize the file size.
What should you recommend?
- A. CSV
- B. JSON
- C. Apache Avro
- D. Apache Parquet
Answer: D
Explanation:
Parquet, an open-source file format for Hadoop, stores nested data structures in a flat columnar format.
Compared to a traditional approach where data is stored in a row-oriented approach, Parquet file format is more efficient in terms of storage and performance.
It is especially good for queries that read particular columns from a “wide” (with many columns) table since only needed columns are read, and IO is minimized.
NEW QUESTION 25
You plan to create a real-time monitoring app that alerts users when a device travels more than 200 meters away from a designated location.
You need to design an Azure Stream Analytics job to process the data for the planned app. The solution must minimize the amount of code developed and the number of technologies used.
What should you include in the Stream Analytics job? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Diagram, table Description automatically generated
Input type: Stream
You can process real-time IoT data streams with Azure Stream Analytics.
Function: Geospatial
With built-in geospatial functions, you can use Azure Stream Analytics to build applications for scenarios such as fleet management, ride sharing, connected cars, and asset tracking.
Note: In a real-world scenario, you could have hundreds of these sensors generating events as a stream.
Ideally, a gateway device would run code to push these events to Azure Event Hubs or Azure IoT Hubs.
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-get-started-with-azure-stream-analytics
https://docs.microsoft.com/en-us/azure/stream-analytics/geospatial-scenarios
NEW QUESTION 26
……
