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NEW QUESTION: 1
Which parameter(s) does a Master controller use to determine where a provisioned AP should terminate its GRE tunnel?
A. the MAC address of the AP
B. the name and group settings of the AP
C. the VLAN the AP is attached to
D. the IP address of the AP
E. the IP address of the switch nearest to the AP
Answer: B
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 2
Which list shows a correct contract life cycle?
A. 1. Invoiced
2.Draft
3.Active
4.On Hold
5.Active
6.Canceled
B. 1. Draft
2.Invoiced
3.Active
4.On Hold
5.Active
6.Expired
C. 1. Draft
2.Active
3.Invoiced
4.On Hold
5.Expired
D. 1. Draft
2.Invoiced
3.Active
4.On Hold
5.Canceled
Answer: C

NEW QUESTION: 3
Assume that all ESXi hosts need several default settings changed to custom values to comply with internal
practices, and compliance must be routinely audited.
What vSphere technology enables the administrator to ensure consistent configuration at scale?
A. PowerCLI
B. esxcli
C. vSphere Web Client
D. Host Profiles
Answer: D
Explanation:
Explanation/Reference:
Reference: https://www.vmware.com/content/dam/digitalmarketing/vmware/en/pdf/techpaper/vmw-host-
profiles-tech-overview-white-paper.pdf

NEW QUESTION: 4
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. Load the text files to sequence files, and then run dashboard queries on the sequence files.
C. Load the text files to parquet files, and then run dashboard queries on the parquet files.
D. Run the queries on the text files directly.
Answer: B
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/