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NEW QUESTION: 1
A multi-protocol gateway (MPGW) service is configured to convert an XML message to a non-XML message for the backend service. The processing policy needs to transform the request to a non-XML message using a WebSphere Transformation Extender (WTX) map and route the message to the backend service. What transform-type action does the solution implementer configure in the processing policy to satisfy this requirement?
A. Processing instruction-based transform (xformpi)
B. Transform (xform)
C. Conformance transform (conformance-xform)
D. Transform binary (xformbin)
Answer: D
NEW QUESTION: 2
You are a data engineer implementing a lambda architecture on Microsoft Azure. You use an open-source big data solution to collect, process, and maintain data. The analytical data store performs poorly.
You must implement a solution that meets the following requirements:
Provide data warehousing
Reduce ongoing management activities
Deliver SQL query responses in less than one second
You need to create an HDInsight cluster to meet the requirements.
Which type of cluster should you create?
A. Apache Spark
B. Interactive Query
C. Apache HBase
D. Apache Hadoop
Answer: A
Explanation:
Explanation
Lambda Architecture with Azure:
Azure offers you a combination of following technologies to accelerate real-time big data analytics:
Azure Cosmos DB, a globally distributed and multi-model database service.
Apache Spark for Azure HDInsight, a processing framework that runs large-scale data analytics applications.
Azure Cosmos DB change feed, which streams new data to the batch layer for HDInsight to process.
The Spark to Azure Cosmos DB Connector
Note: Lambda architecture is a data-processing architecture designed to handle massive quantities of data by taking advantage of both batch processing and stream processing methods, and minimizing the latency involved in querying big data.
References:
https://sqlwithmanoj.com/2018/02/16/what-is-lambda-architecture-and-what-azure-offers-with-its-new-cosmos
NEW QUESTION: 3
When creating a new Cloud Dataproc cluster with the projects.regions.clusters.create operation, these four values are required: project, region, name, and ____.
A. zone
B. label
C. type
D. node
Answer: A
Explanation:
Explanation
At a minimum, you must specify four values when creating a new cluster with the projects.regions.clusters.create operation:
The project in which the cluster will be created
The region to use
The name of the cluster
The zone in which the cluster will be created
You can specify many more details beyond these minimum requirements. For example, you can also specify the number of workers, whether preemptible compute should be used, and the network settings.
Reference:
https://cloud.google.com/dataproc/docs/tutorials/python-library-example#create_a_new_cloud_dataproc_cluste