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NEW QUESTION: 1
Refer to the exhibit. In a multicluster environment using Call Control Discovery to advertise patterns between clusters, advertisements from one cluster are not propagating to other clusters. The output in the exhibit comes from the Cisco SAF Forwarder configured on this cluster. Why are advertisements failing?

A. The SAF security profile password is incorrect
B. The SAF advertising service is not enabled
C. The message integrity key is incorrect
D. The SAF client label is incorrect
Answer: A

NEW QUESTION: 2
ニュース組織は、20 TBのビデオアーカイブをAWSに移行する予定です。ファイルにアクセスすることはめったにありませんが、アクセスする場合は事前に要求が行われ、3〜5時間の検索時間枠が許容されます。ただし、ニュース速報がある場合、編集者は数分以内にアーカイブされた映像にアクセスする必要があります。
ストレージの最低コストを提供しながら、この組織のニーズを満たすストレージソリューションはどれですか？
A. ライフサイクルポリシーを使用してアーカイブをAmazon S3に保存し、これをS3 Infrequent Accessに移行します
30日間。
B. アーカイブをAmazon Glacierに保存し、必要に応じて迅速な取得のために追加料金を支払います。
C. アーカイブをAmazon S3低冗長化ストレージに保存します。
D. アーカイブをAmazon Glacierに保存し、すべてのコンテンツに標準の取得を使用します。
Answer: B
Explanation:
Explanation
Expedited - Expedited retrievals allow you to quickly access your data when occasional urgent requests for a subset of archives are required. For all but the largest archives (250 MB+), data accessed using Expedited retrievals are typically made available within 1-5 minutes. Provisioned Capacity ensures that retrieval capacity for Expedited retrievals is available when you need it. For more information, see Provisioned Capacity.
Standard - Standard retrievals allow you to access any of your archives within several hours. Standard retrievals typically complete within 3-5 hours. This is the default option for retrieval requests that do not specify the retrieval option.
Bulk - Bulk retrievals are Glacier's lowest-cost retrieval option, which you can use to retrieve large amounts, even petabytes, of data inexpensively in a day. Bulk retrievals typically complete within 5-12 hours.

NEW QUESTION: 3
Your client application submits a MapReduce job to your Hadoop cluster. Identify the Hadoop daemon on which the Hadoop framework will look for an available slot schedule a MapReduce operation.
A. NameNode
B. TaskTracker
C. JobTracker
D. Secondary NameNode
E. DataNode
Answer: C
Explanation:
JobTracker is the daemon service for submitting and tracking MapReduce jobs in Hadoop. There is only One Job Tracker process run on any hadoop cluster. Job Tracker runs on its own JVM process. In a typical production cluster its run on a separate machine. Each slave node is configured with job tracker node location. The JobTracker is single point of failure for the Hadoop MapReduce service. If it goes down, all running jobs are halted. JobTracker in Hadoop performs following actions(from Hadoop Wiki:)
Client applications submit jobs to the Job tracker. The JobTracker talks to the NameNode to determine the location of the data The JobTracker locates TaskTracker nodes with available slots at or near the data The JobTracker submits the work to the chosen TaskTracker nodes. The TaskTracker nodes are monitored. If they do not submit heartbeat signals often enough, they are deemed to have failed and the work is scheduled on a different TaskTracker. A TaskTracker will notify the JobTracker when a task fails. The JobTracker decides what to do then: it may resubmit the job elsewhere, it may mark that specific record as something to avoid, and it may may even blacklist the TaskTracker as unreliable. When the work is completed, the JobTracker updates its status.
Client applications can poll the JobTracker for information.
Reference: 24 Interview Questions & Answers for Hadoop MapReduce developers, What is a JobTracker in Hadoop? How many instances of JobTracker run on a Hadoop Cluster?