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NEW QUESTION: 1
A customer has a VPLEX Metro installed. They asked you to recommend a method to non-disruptively move Virtual Volumes from a storage array at Cluster 1 to a storage array at Cluster 2. What would you recommend?
A. Use the Device Mobility feature of VPLEX.
B. Change the RAID protection to RAID 0
C. Use the Extent Mobility feature of VPLEX.
D. Use array-based features to copy the storage volume, then rediscover the array.
Answer: A
NEW QUESTION: 2
Which two options are benefits of Shortcut Switching Enhancements for NHRP on DMVPN networks?(Choose two)
A. It allows data packets to be fast switched while spoke-to-spoke tunnels are being established
B. It supports layered network topologies with central hubs and direct spoke-to-spoke tunnels between spokes on
different hubs
C. It enables the NHRP FIB lookup process to perform route summarization on the hub
D. It enables spokes to use a summary route to build spoke-to-spoke tunnels.
Answer: B,D
NEW QUESTION: 3
Note: This question is part of series of questions that present the same scenario. Each question in the series contain a unique solution. Determine whether the solution meets the stated goals.
You develop a data ingestion process that will import data to a Microsoft Azure SQL Data Warehouse. The data to be ingested resides in parquet files stored in an Azure Data Lake Gen 2 storage account.
You need to load the data from the Azure Data Lake Gen 2 storage account into the Azure SQL Data Warehouse.
Solution:
1. Use Azure Data Factory to convert the parquet files to CSV files
2. Create an external data source pointing to the Azure storage account
3. Create an external file format and external table using the external data source
4. Load the data using the INSERT...SELECT statement
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Explanation
There is no need to convert the parquet files to CSV files.
You load the data using the CREATE TABLE AS SELECT statement.
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-load-from-azure-data-lake-store