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NEW QUESTION: 1
The SSID broadcast for a wireless router has been disabled but a network administrator
notices that unauthorized users are accessing the wireless network. The administor has determined that attackers are still able to detect the presence of the wireless network despite the fact the SSID has been disabled. Which of the following would further obscure the presence of the wireless network?
A. Disable responses to a broadcast probe request
B. Create a non-zero length SSID for the wireless router
C. Upgrade the encryption to WPA or WPA2
D. Reroute wireless users to a honeypot
Answer: A

NEW QUESTION: 2
展示を参照してください。

IPアドレス192.168.10.1の2番目のエクスポート先を設定するにはどうすればよいですか？
A. 宛先へのバージョン5フローエクスポートの構成
B. VRFを指定します。
C. 別のTCPポートを指定します。
D. 別のUDPポートを指定します。
E. 別のフローIDを指定します。
Answer: B

NEW QUESTION: 3
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 TEXTFILE
B. STORED AS ORC
C. STORED AS GZIP
D. STORED AS RCFILE
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

NEW QUESTION: 4
以下の各ステートメントについて、そのステートメントが正しい場合は「はい」を選択してください。そうでなければ、いいえを選択します。
注：それぞれ正しい選択は1ポイントの価値があります。

Answer:
Explanation:

Explanation:
Box 1: No
Not all Azure regions administrators in the Azure Portal.
Box 2: No
Regions that support availability zones support Linux virtual machines.
Box 3: Yes
Availability Zones is a high-availability offering that protects your applications and data from datacenter failures. Availability Zones are unique physical locations within an Azure region. Each zone is made up of one or more datacenters equipped with independent power, cooling, and networking. To ensure resiliency, there's a minimum of three separate zones in all enabled regions. The physical separation of Availability Zones within a region protects applications and data from datacenter failures. Zone-redundant services replicate your applications and data across Availability Zones to protect from single-points-of-failure. With Availability Zones, Azure offers industry best 99.99% VM uptime SLA.
References:
https://docs.microsoft.com/en-gb/azure/availability-zones/az-overview