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NEW QUESTION: 1
Universal Containers (UC) wants to capture information on how data entities are stored within the different applications and systems used within the company. For that purpose, the architecture team decided to create a data dictionary covering the main business domains within UC. Which two common techniques are used building a data dictionary to store information on how business entities are defined?
A. Use a data definition language.
B. Use an entity relationship diagram.
C. Use the Salesforce Metadata API.
D. Use Salesforce Object Query Language.
Answer: B,C
NEW QUESTION: 2
You plan to create a Docker image that runs an ASP.NET Core application named ContosoApp. You have a setup script named setupScript.ps1 and a series of application files including ContosoApp.dll.
You need to create a Dockerfile document that meets the following requirements:
* Call setupScript.ps1 when the container is built.
* Run ContosoApp.dll when the container starts.
The Dockerfile document must be created in the same folder where ContosoApp.dll and setupScript.ps1 are stored.
Which four commands should you use to develop the solution? To answer, move the appropriate commands from the list of commands to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
NEW QUESTION: 3
You plan to design a solution for an Al implementation that uses data from loT devices.
You need to recommend a data storage solution for the loT devices that meets the following requirements:
*Allow data to be queried in real-time as it streams into the solution.
*Provide the lowest amount of latency for loading data into the solution.
What should you include in the recommendation?
A. a Microsoft Azure HDInsight Hadoop cluster
B. a Microsoft Azure SQL database that has In-Memory OLTP enabled
C. a Microsoft Azure HDInsight R Server cluster
D. a Microsoft Azure Table Storage solution
Answer: A
Explanation:
You can use HDInsight to process streaming data that's received in real time from a variety of devices.
Internet of Things (IoT)
You can use HDInsight to build applications that extract critical insights from data. You can also use Azure Machine Learning on top of that to predict future trends for your business.
By combining enterprise-scale R analytics software with the power of Apache Hadoop and Apache Spark, Microsoft R Server for HDInsight gives you the scale and performance you need. Multi-threaded math libraries and transparent parallelization in R Server handle up to 1000x more data and up to 50x faster speeds than open-source R, which helps you to train more accurate models for better predictions.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/apache-hadoop-introduction