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NEW QUESTION: 1
You plan to use a Data Science Virtual Machine (DSVM) with the open source deep learning frameworks Caffe2 and Theano. You need to select a pre configured DSVM to support the framework.
What should you create?
A. Data Science Virtual Machine for Linux (Ubuntu)
B. Data Science Virtual Machine for Windows 2016
C. Geo AI Data Science Virtual Machine with ArcGIS
D. Data Science Virtual Machine for Windows 2012
E. Data Science Virtual Machine for Linux (CentOS)
Answer: A
NEW QUESTION: 2
DreamHouse Realty has 15 million records in the Order_c custom object. When running a bulk query, the query times out.
What should be considered to address this issue?
A. Metadata API
B. PK Chunking
C. Tooling API
D. Streaming API
Answer: B
NEW QUESTION: 3
DRAG DROP
Drag the term on the left to the matching deployment scenario on the right.
Answer:
Explanation:
NEW QUESTION: 4
The data engineering team manages Azure HDInsight clusters. The team spends a large amount of time creating and destroying clusters daily because most of the data pipeline process runs in minutes.
You need to implement a solution that deploys multiple HDInsight clusters with minimal effort.
What should you implement?
A. Ambari web user interface
B. Azure Resource Manager templates
C. Azure Traffic Manager
D. Azure Databricks
Answer: B
Explanation:
A Resource Manager template makes it easy to create the following resources for your application in a single, coordinated operation:
* HDInsight clusters and their dependent resources (such as the default storage account).
* Other resources (such as Azure SQL Database to use Apache Sqoop).
In the template, you define the resources that are needed for the application. You also specify deployment parameters to input values for different environments. The template consists of JSON and expressions that you use to construct values for your deployment.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-create-linux-clusters-arm-templates