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NEW QUESTION: 1
Assume that the Cisco IOS SAF Forwarder is configured correctly.
Which minimum configurations on Cisco Unified Communications Manager are needed for the SAF registration to take place?
A. SAF Trunk, SAF Security Profile, and SAF Forwarder
B. SAF Trunk, CCD Requesting Service, and CCD Advertising Service
C. SAF Trunk, SAF Security Profile, SAF Forwarder, and CCD Advertising Service
D. SAF Trunk, SAF Security Profile, SAF Forwarder, and CCD Requesting Service
E. SAF Trunk, SAF Security Profile, SAF Forwarder, CCD Requesting Service, and CCD Advertising Service
Answer: D

NEW QUESTION: 2
Microsoft AzureでLambdaアーキテクチャを使用してソリューションを開発しています。
テストレイヤーのデータは、次の要件を満たしている必要があります。
データストレージ：
*リポジトリ（またはさまざまな形式の大量の大容量ファイル）として機能します。
*ビッグデータ分析ワークロード用に最適化されたストレージを実装します。
*階層構造を使用してデータを整理できるようにします。
バッチ処理：
*メモリ内の計算処理にはマネージドソリューションを使用します。
* Scala、Python、およびRプログラミング言語をネイティブにサポートします。
*クラスターを自動的にサイズ変更および終了する機能を提供します。
Analytical data store:
* Support parallel processing.
* Use columnar storage.
* Support SQL-based languages.
Lambdaアーキテクチャを構築するには、正しいテクノロジーを特定する必要があります。
どのテクノロジーを使用する必要がありますか？回答するには、回答エリアで適切なオプションを選択します
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation

Data storage: Azure Data Lake Store
A key mechanism that allows Azure Data Lake Storage Gen2 to provide file system performance at object storage scale and prices is the addition of a hierarchical namespace. This allows the collection of objects/files within an account to be organized into a hierarchy of directories and nested subdirectories in the same way that the file system on your computer is organized. With the hierarchical namespace enabled, a storage account becomes capable of providing the scalability and cost-effectiveness of object storage, with file system semantics that are familiar to analytics engines and frameworks.
Batch processing: HD Insight Spark
Aparch Spark is an open-source, parallel-processing framework that supports in-memory processing to boost the performance of big-data analysis applications.
HDInsight is a managed Hadoop service. Use it deploy and manage Hadoop clusters in Azure. For batch processing, you can use Spark, Hive, Hive LLAP, MapReduce.
Languages: R, Python, Java, Scala, SQL
Analytic data store: SQL Data Warehouse
SQL Data Warehouse is a cloud-based Enterprise Data Warehouse (EDW) that uses Massively Parallel Processing (MPP).
SQL Data Warehouse stores data into relational tables with columnar storage.
References:
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-namespace
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch-processing
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-overview-what-is

NEW QUESTION: 3
Which of the following terms is described in the statement below?
"They are the prime monitoring indicators of the enterprise, and are highly relevant and possess a high probability of predicting or indicating important risk."
A. Risk indicators
B. Key risk indicators
C. Lag indicators
D. Lead indicators
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Key Risk Indicators are the prime monitoring indicators of the enterprise. KRIs are highly relevant and possess a high probability of predicting or indicating important risk. KRIs help in avoiding excessively large number of risk indicators to manage and report that a large enterprise may have.
Incorrect Answers:
B: Lag indicators are the risk indicators that is used to indicate risk after events have occurred.
C: Lead indicators are the risk indicators that is used to indicate which capabilities are in place to prevent events from occurring.
D: Risk indicators are metrics used to indicate risk thresholds, i.e., it gives indication when a risk level is approaching a high or unacceptable level of risk. The main objective of a risk indicator is to ensure tracking and reporting mechanisms that alert staff about the potential risks.

NEW QUESTION: 4
Which three connector/J connection strings can be used to connect to the MYSQL server?
A. Jdbc :mysqli://localhost/test?user=xxx&password=xxx
B. Jdbc:mysq1://localhost/test?user =xxx&password=xxx
C. Jdbc :mysql:replication://master,slave1.slave2. /test?user=xxx&password=xxx
D. Jdbc:mysql:proxy://localhost/test?user=xxx&password=xxx
E. Jdbc :mysql:loadbalance://master.slave1,slave2/test?user=xxx&password=xxx
Answer: B,C,E