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NEW QUESTION: 1
P is a chartered management accountant working for a large project engineering company. P's functional superior is the Chief Management Accountant.
However for about two thirds of the time available, P is seconded to work with various project teams on a concurrent basis under a matrix organisation structure. This has turned out to be a demanding job role for P, with a number of disadvantages.
Select ALL the disadvantages that apply.
A. Training and development opportunities might be missed due to project commitments.
B. Exposure to project management skills beyond management accountancy.
C. Building close relationships with functional colleagues may be inhibited.
D. Flexible project commitments might lead to an unstable work pattern.
E. Developing close relationships with other discipline specialists.
F. Tensions arise between the priorities of the projects and the functional department.
Answer: A,C,D,F

NEW QUESTION: 2
개발 팀은 애플리케이션 승리 프론트 엔드 및 백엔드 애플리케이션 계층을 구축하고 있습니다. 각 계층은 ELB Classic Load Balancer에서 Amazon EC2 인스턴스로 구성됩니다. 인스턴스는 여러 가용 영역의 Auto Scaling 그룹에서 실행됩니다. 네트워크 팀이
이 응용 프로그램의 10.0.0.0/24 주소 공간. 프론트 엔드로드 밸런서 만 인터넷에 노출되어야합니다. 주소 공간의 제한된 크기와 각 계층의 확장 기능에 대한 우려가 있습니다.
각 가용 영역에 VPC 서브넷 디자인은 무엇입니까?
A. 응용 프로그램의 모든 계층에 대한 하나의 공유 공용 서브넷
B. 로드 밸런서 계층을위한 하나의 퍼블릭 서브넷과 애플리케이션 계층을 위한 하나의 공유 프라이빗 서브넷
C. 로드 밸런서 계층에 대한 하나의 퍼블릭 서브넷, 프런트 엔드 계층에 대한 하나의 퍼블릭 서브넷 및 백엔드 계층에 대한 하나의 프라이빗 서브넷
D. 응용 프로그램의 모든 계층에 대한 하나의 공유 프라이빗 서브넷
Answer: C

NEW QUESTION: 3
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: 4
Characterizing an existing network requires gathering as much information about the network as possible. Which of these choices describes the preferred order for the information-gathering process?
A. site and network audits, traffic analysis, existing documentation and organizational input
B. site and network audits, existing documentation and organizational input, traffic analysis
C. traffic analysis, existing documentation and organizational input, site and network audits
D. existing documentation and organizational input, site and network audits, traffic analysis
Answer: D
Explanation:
This section describes the steps necessary to characterize the existing network infrastructure and all sites. This process requires three steps:
Step 1. Gather existing documentation about the network, and query the organization to discover additional information. Organization input, a network audit, and traffic analysis provide the key information you need. (Note that existing documentation may be inaccurate.) Step 2. Perform a network audit that adds detail to the description of the network. If possible, use traffic-analysis information to augment organizational input when you are describing the applications and protocols used in the network. Step 3. Based on your network characterization, write a summary report that describes the health of the network. With this information, you can propose hardware and software
upgrades to support the network requirements and the organizational requirements.