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NEW QUESTION: 1
A customer has a requirement to enable employees to have fast access to documents from any of the company's worldwide distributed offices. The office staff has no knowledge of Documentum system administration.
Which distributed content solution satisfies this customer's requirements?
A. Citrix Presentation Server
B. Single-repository distributed configuration using Branch Office Caching Services
C. Single-repository distributed configuration using Content Servers
D. Multi-repository distributed configuration
Answer: B
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 three statements are true concerning node evictions and reboots performed by Oracle Clusterware
12c?
A. All node evictions require that the evicted node or nodes be rebooted.
B. The OCLSKD process is used for node eviction requests originating on the node to be evicted.
C. A node whose performance is severely degraded can be evicted.
D. The reboot advisory broadcasts reboot decisions only over the interconnect.
E. The CSSDMONITOR process can request a node eviction.
F. The OCSSD process may evict a node after an escalation request from a database instance LMON process.
Answer: B,C,E
Explanation:
Explanation/Reference:
Explanation:
D: The cssdagent and cssdmonitor provide the following services to guarantee data integrity:
Monitors the CSS daemon; if the CSS daemon stops, then it shuts down the node
Monitors the node scheduling to verify that the node is not hung, and shuts down the node on recovery
from a hang.
Note If the Oracle Clusterware itself is working perfectly but one of the RAC instances is hanging , the database LMON process will request a member kill escalation and ask the CSS process to remove the hanging database instance from the cluster.
On a Linux/Unix system CSS consists of ocssd.bin, cssdmonitor, and cssdagent.
E: Cluster kill daemon (oclskd) handles instance/node evictions requests that have been escalated to the Cluster Synchronization Service (CSS).
Incorrect Answers:
C: Ocssd manages cluster node membership and runs as the oracle user; failure of this process results in a node restart.
NEW QUESTION: 4
Cisco ISE分割展開モデルでは、どの負荷がノード間で分割されますか。
A. デバイスの入場
B. ネットワークアドミッション
C. ログ収集
D. AAA
Answer: D
Explanation:
https://www.cisco.com/c/en/us/td/docs/security/ise/2-6/install_guide/b_ise_InstallationGuide26.pdf