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NEW QUESTION: 1
You have been asked to recommend a solution for protocol capture of 802.11 frames consisting of 3x3:3 802.11ac communications. The requirement specifies that you gain a general view of a coverage area and does not require that you capture from specific user locations. The solution must be the least expensive practical solution possible that does not disrupt user access to the WLAN and it must be based on enterprise WLAN hardware.
What solution would you recommend so that any coverage area could be monitored on demand?
A. Install laptop-based protocol analyzer near each AP
B. Install the minimum number of Aps required for coverage and use these Aps for protocol analysis as needed
C. Install Wireshark on the Aps natively to allow dynamic capture while serving clients
D. Install sufficient Aps so that an AP can be taken offline to perform protocol analysis as needed
Answer: C

NEW QUESTION: 2
What is the final component of Cos processing on a Junos device?
A. drop profile map
B. Multifield classifier
C. rewrite marker
D. behavior aggregate classifier
Answer: C

NEW QUESTION: 3
You are creating an analytics report that will consume data from the tables shown in the following table.

There is a relationship between the tables.
There are no reporting requirements on employeejd and employee_photo.
You need to optimize the data model
What should you configure for employeejd and employee.photo? To answer, select the appropriate options in the answer area.

Answer:
Explanation:

NEW QUESTION: 4
A company named Fabrikam, Inc. has a Microsoft Azure web app. Billions of users visit the app daily.
The web app logs all user activity by using text files in Azure Blob storage. Each day, approximately 200 GB of text files are created.
Fabrikam uses the log files from an Apache Hadoop cluster on Azure HDInsight.
You need to recommend a solution to optimize the storage of the log files for later Hive use.
What is the best property to recommend adding to the Hive table definition to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.
A. STORED AS RCFILE
B. STORED AS ORC
C. STORED AS GZIP
D. STORED AS TEXTFILE
Answer: B
Explanation:
Explanation/Reference:
Explanation:
The Optimized Row Columnar (ORC) file format provides a highly efficient way to store Hive data. It was designed to overcome limitations of the other Hive file formats. Using ORC files improves performance when Hive is reading, writing, and processing data.
Compared with RCFile format, for example, ORC file format has many advantages such as:
a single file as the output of each task, which reduces the NameNode's load

Hive type support including datetime, decimal, and the complex types (struct, list, map, and union)

light-weight indexes stored within the file

skip row groups that don't pass predicate filtering

seek to a given row

block-mode compression based on data type

run-length encoding for integer columns

dictionary encoding for string columns

concurrent reads of the same file using separate RecordReaders

ability to split files without scanning for markers

bound the amount of memory needed for reading or writing

metadata stored using Protocol Buffers, which allows addition and removal of fields

Reference: https://cwiki.apache.org/confluence/display/Hive/LanguageManual
+ORC#LanguageManualORC-ORCFileFormat