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NEW QUESTION: 1
Your customer is an ISP providing service to thousands of end customers. Its main concerns are focused on using up the total number of 4096 VLANs per VDC, wasting an unused block of IP addresses, and IP address management. Which technique will address these concerns?
A. create mapping between the VLAN and VSAN to run FCoE to consolidate VLAN and IP addresses
B. segment VLANs using secondary IP addresses, which will reduce the management domain
C. use PVLANs, which will solve the scalability problem and provide IP address management
D. create a separate VDC to scale VLAN limitation and upgrade to Cisco Nexus 7018 Switch
Answer: C

NEW QUESTION: 2
Click the Exhibit button.

On the first LUN entry shown in the exhibit, a hyphen (-) appears under reporting-nodes.
What are two reasons why the hyphen appears? (Choose two.)
A. The hyphen is the default for SLM on LUNs create before ONTAP 8.3.
B. The hyphen is the default for SLM on LUNs create in ONTAP 8.3 and later.
C. The hyphen indicates that all nodes are reporting paths to the LUN.
D. The hyphen indicates that no nodes are reporting paths to the LUN.
Answer: B,C
Explanation:
Verify that the LUN map contains four nodes by using the lun mapping show -fields reporting-nodes command.
Example
cluster1::> lun mapping show -vserver SVM1 -volume vol1 -fields reporting-nodes vserver path igroup reporting-nodes
-------- ----------- -------- --------------------------------------------- SVM1 /vol/vol1 ig1 cluster1-1,cluster1-2,cluster1-3,cluster1-4
If the cluster contains only four nodes and all four are included as reporting-nodes, the reporting-nodes field displays a dash (-).
References: https://library.netapp.com/ecm/ecm_download_file/ECMP12425790

NEW QUESTION: 3
Your cluster's HDFS block size in 64MB. You have directory containing 100 plain text files, each of which is 100MB in size. The InputFormat for your job is TextInputFormat. Determine how many Mappers will run?
A. 0
B. 1
C. 2
D. 3
Answer: C
Explanation:
Each file would be split into two as the block size (64 MB) is less than the file
size (100 MB), so 200 mappers would be running.
Note:
If you're not compressing the files then hadoop will process your large files (say 10G), with
a number of mappers related to the block size of the file.
Say your block size is 64M, then you will have ~160 mappers processing this 10G file (160*64 ~= 10G). Depending on how CPU intensive your mapper logic is, this might be an
acceptable blocks size, but if you find that your mappers are executing in sub minute times, then you might want to increase the work done by each mapper (by increasing the block size to 128, 256, 512m - the actual size depends on how you intend to process the data).
Reference: http://stackoverflow.com/questions/11014493/hadoop-mapreduce-appropriateinput-files-size (first answer, second paragraph)

NEW QUESTION: 4
Microsoft SQL Serverを実行する5つのサーバーがあり、各サーバーは複数のデータベースをホストします。フォールトトレランスを実装する予定です。
次の要件を満たすフォールトトレランスソリューションを実装する必要があります。
* 各データベースは個別のフォールトトレランス設定を使用する必要があります。
* ソリューションは各データベースの3つ以上のコピーをサポートする必要があります。
* データベースのフェイルオーバーは自動でなければなりません。
あなたは何を使うべきですか？
A. データベースミラーリング
B. 常にオンの可用性グループ
C. トランザクションレプリケーション
D. ログ配布
Answer: B
Explanation:
Explanation
An availability group supports a replicated environment for a discrete set of user databases, known as availability databases. You can create an availability group for high availability (HA) or for read-scale. An HA availability group is a group of databases that fail over together.
Each set of availability database is hosted by an availability replica. Two types of availability replicas exist: a single primary replica. which hosts the primary databases, and one to eight secondary replicas, each of which hosts a set of secondary databases and serves as a potential failover targets for the availability group.
References:
https://docs.microsoft.com/en-us/sql/database-engine/availability-groups/windows/overview-of-always-on-availa