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Exam Code: Analytics-Admn-201 Dumps

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NEW QUESTION: 1
A customer wants to implement Metro Mirror replication between two sites 500 km apart. Which two responses would a technical specialist give the customer as being feasible? (Select two)
A. IBM Storwize V7000 requires an RPQ to support synchronous replication of distances greater than 300 km
B. IBM Storwize V7000 supports a thin mirrored volume at distances greater than 300 km
C. IBM Storwize V7000 supports asynchronous replication of distances greater than 300 km
D. IBM Storwize V7000 does not support synchronous replication of distances greater than 300 km
E. IBM Storwize V7000 does not support asynchronous replication of distances greater than 300 km
Answer: C,D

NEW QUESTION: 2
Refer to the exhibit. The network uses STP. All switches use the default priority and have the same bandwidth. Which description of the network is true?
A. The redundant links between the switches are blocked
B. S3 is elected as the root bridge
C. Host A can always reach host B through S1
D. S2 is elected as the root bridge
Answer: A

NEW QUESTION: 3
Your on-premises network contains a file server named Server1 that stores 500 GB of data.
You need to use Azure Data Factory to copy the data from Server1 to Azure Storage.
You add a new data factory.
What should you do next? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Install a self-hosted integration runtime
The Integration Runtime is a customer-managed data integration infrastructure used by Azure Data Factory to provide data integration capabilities across different network environments.
Box 2: Create a pipeline
With ADF, existing data processing services can be composed into data pipelines that are highly available and managed in the cloud. These data pipelines can be scheduled to ingest, prepare, transform, analyze, and publish data, and ADF manages and orchestrates the complex data and processing dependencies References:
https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/move-sql-azure-adf


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