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NEW QUESTION: 1
A project manager provides status reports to a customer on a biweekly basis, but the customer is very busy and only has a few minutes to review the project.
Which of the following are critical for the project manager to provide?
A. Schedule, cost, risks/issues, and milestones
B. Action items, organizational chart, schedule, and NDA
C. Cost, schedule, organizational chart, and risks/issues
D. Risks/issues, cost, RACI chart, and action items
Answer: A
Explanation:
Explanation
References: Kim Heldman, CompTIA Project+ Study Guide, 2nd Edition, Sybex, Indianapolis, 2017, p. 326
NEW QUESTION: 2
A. Option A
B. Option D
C. Option C
D. Option B
Answer: A
Explanation:
All the Office 2016 client applications support multi-factor authentication through the use of the Active Directory Authentication Library (ADAL). This means that app passwords are not required for Office 2016 clients.
References:https://support.office.com/en-us/article/Set-up-multi-factor-authentication-for- Office-365-users-8f0454b2-f51a-4d9c-bcde-2c48e41621c6
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
You are in the process of directing the performance of the planned project activities and managing the various technical and organizational interfaces that exist within your project. Which of the following process are you performing?
A. Integrate change control
B. Human resource planning
C. Monitor and control project work
D. Direct and manage project execution
E. Develop project management plan
Answer: D