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NEW QUESTION: 1

A. Option D
B. Option A
C. Option B
D. Option C
Answer: B,C

NEW QUESTION: 2
An EMC NetWorker server has been configured to back up to an advanced file type device (AFTD). The volume reaches full capacity. What describes the AFTD volume in this situation?
A. Volume is marked as full and NetWorker suspends all saves directed to the device
B. Volume is not marked as full; a message is displayed stating that the file system requires more space
C. Volume is not marked as full, a saveset being written to the AFTD continues to another volume
D. Volume is marked as full and continues to back up to either a disk or tape volume
Answer: B

NEW QUESTION: 3
A company named Fabricam, Inc, has a web app hosted in Microsoft Azure. Millions of users visit the app daily.
All of the user visits are logged in Azure Blob storage. Data analysts at Fabrikam built a dashboard that processes the user visit logs.
Fabrikam plans to use an Apache Hadoop cluster on Azure HDInsight to process queries. The queries will access the data only once.
You need to recommend a query execution strategy.
What is the best to recommend using to achieve the goal?
More than one answer choice may achieve the goal. Select the BEST answer.
A. Load the text files to ORC files, and then run dashboard queries on the ORC files.
B. Run the queries on the text files directly.
C. Load the text files to sequence files, and then run dashboard queries on the sequence files.
D. Load the text files to parquet files, and then run dashboard queries on the parquet files.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
File format versatility and Intelligent caching: Fast analytics on Hadoop have always come with one big catch: they require up-front conversion to a columnar format like ORCFile, Parquet or Avro, which is time- consuming, complex and limits your agility.
With Interactive Query Dynamic Text Cache, which converts CSV or JSON data into optimized in-memory format on-the-fly, caching is dynamic, so the queries determine what data is cached. After text data is cached, analytics run just as fast as if you had converted it to specific file formats.
References: https://azure.microsoft.com/en-us/blog/azure-hdinsight-interactive-query-simplifying-big-data- analytics-architecture-and-operations/