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NEW QUESTION: 1
In a Java application, you click a button to load a grid. The grid loads as a separate process under the Java application. Which property allows you to interrogate the grid?
A. EnableMatchlnProcess
B. TargetPath
C. HookChildProcesses
D. IgnoreMainBrowser
Answer: A
NEW QUESTION: 2
Refer to the exhibit
A chart for monthly hospital admissions and discharges incorrectly displays the month and year values on the x-axis.
The date format for the source data field "Common Date" is M/D/YYYY This format was used in a calculated field named "Month-Year" in the data manager when the data model was first built.
Which expression should the data architect use to fix this issue?
A. Date([Common Date],'MMM-YYYY')
B. Date(InMonth([Conmon Date]),'MMM-YYYY')
C. Date(MonthStart([Common Date]), *MMM-YYYY')
D. Date (MonthsStart ([Common Dace]),'MMM-YYYY'
Answer: C
NEW QUESTION: 3
What is the fundamental unit of muscle contraction?
A. Sarcomere
B. Myosin
C. Myofibril
D. Sarcolemma
Answer: A
NEW QUESTION: 4
You need to develop a pipeline for processing data. The pipeline must meet the following requirements.
* Scale up and down resources for cost reduction.
* Use an in-memory data processing engine to speed up ETL and machine learning operations.
* Use streaming capabilities.
* Provide the ability to code in SQL, Python, Scala, and R.
* Integrate workspace collaboration with Git.
What should you use?
A. HDInsight Hadoop Cluster
B. Azure Stream Analytics
C. HDInsight Spark Cluster
D. Azure SQL Data Warehouse
Answer: C
Explanation:
Aparch Spark is an open-source, parallel-processing framework that supports in-memory processing to boost the performance of big-data analysis applications.
HDInsight is a managed Hadoop service. Use it deploy and manage Hadoop clusters in Azure. For batch processing, you can use Spark, Hive, Hive LLAP, MapReduce.
Languages: R, Python, Java, Scala, SQL
You can create an HDInsight Spark cluster using an Azure Resource Manager template. The template can be found in GitHub.
References:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch-processing
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