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NEW QUESTION: 1
Avaya Aura® System Manager (SMGR) holds a copy of the Avaya Aura® Communication Manager (CM) database, and it is important that the database is kept identical in both SMGR and CM.
If they ever stop being synchronized, what should be done to get them synchronized again?
A. Issue a savetranslationsall command in CM.
B. Go to the Inventory > Synchronize > Communication System, and synchronize the database from CM to SMGR.
C. Go to the Inventory > Synchronize > Communication System, and send the database from SMGR to CM.
D. Go to the Replication page and issue a Repair of the database on SMGR.
Answer: B
NEW QUESTION: 2
A. Option A
B. Option D
C. Option B
D. Option C
Answer: C
NEW QUESTION: 3
Vault Adminsグループのメンバーである限り、アクセスできる金庫の許可を与えることができます。
A. FALSE
B. TRUE
Answer: A
Explanation:
Vault adminsグループに属していると、インストール中に作成された金庫（インストールプロセスで作成された金庫）にのみアクセスできます。これはドキュメントに明記されています。
NEW QUESTION: 4
You are a data engineer implementing a lambda architecture on Microsoft Azure. You use an open-source big data solution to collect, process, and maintain data. The analytical data store performs poorly.
You must implement a solution that meets the following requirements:
Provide data warehousing
Reduce ongoing management activities
Deliver SQL query responses in less than one second
You need to create an HDInsight cluster to meet the requirements.
Which type of cluster should you create?
A. Apache HBase
B. Interactive Query
C. Apache Spark
D. Apache Hadoop
Answer: C
Explanation:
Explanation
Lambda Architecture with Azure:
Azure offers you a combination of following technologies to accelerate real-time big data analytics:
Azure Cosmos DB, a globally distributed and multi-model database service.
Apache Spark for Azure HDInsight, a processing framework that runs large-scale data analytics applications.
Azure Cosmos DB change feed, which streams new data to the batch layer for HDInsight to process.
The Spark to Azure Cosmos DB Connector
Note: Lambda architecture is a data-processing architecture designed to handle massive quantities of data by taking advantage of both batch processing and stream processing methods, and minimizing the latency involved in querying big data.
References:
https://sqlwithmanoj.com/2018/02/16/what-is-lambda-architecture-and-what-azure-offers-with-its-new-cosmos