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NEW QUESTION: 1
DynamoDB에 대한 다음 중 진실한 사실은 무엇입니까? 2 답 선택
A. DynamoDB는 읽는 동안 항목 액세스를 제한합니다.
B. DynamoDB는 비관적 잠금 모델을 사용합니다.
C. DynamoDB는 쓰기 중 항목 액세스를 제한합니다.
D. DynamoDB는 낙관적 동시성 제어를 사용합니다.
E. DynamoDB는 일관성을 위해 조건부 기록을 사용합니다.
Answer: D,E

NEW QUESTION: 2
The following SAS program is submitted:
options reuse=YES;
data sasuser RealEstate(compress=CHAR);
set sasuser houses;
run;
What is the effect of the REUSE=YES SAS system option?
A. It allows users to access the same SAS data set concurrently
B. It tracks and recycles free space
C. It allows a permanently stored SAS data set to be replaced
D. It allows updates in place
Answer: B

NEW QUESTION: 3
The command used to determine a file's type is
A. type
B. find
C. ls
D. file
Answer: D

NEW QUESTION: 4
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