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NEW QUESTION: 1
기존 고객이 추가 청구지 주소를 요청합니다. 이 새로운 청구 지 주소를 시스템에 입력하는 가장 좋은 방법은 무엇입니까?
정답을 선택하십시오.
응답:
A. 새로운 청구지 주소로 두 번째 비즈니스 파트너 마스터를 만들고 두 비즈니스 파트너를 하나의 제어 계정으로 연결하십시오.
B. 비즈니스 파트너 마스터 레코드에 두 번째 청구 지 주소를 추가하십시오.
C. 각각의 새 판매 문서에서 청구지 주소를 변경하십시오.
D. 배송지 주소 필드를 사용하여 두 번째 청구지 주소를 저장하십시오.
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
UC is deploying Salesforce for lead and opportunity Management. Several area of the application need to be customized using Apex & Visualforce in order to meet business requirements. Which steps can be taken to execute an effective test plan that will ensure high quality components? (2 answers)
A. Create test conditions that cross-reference use cases from project documents
B. Write detailed test scripts that define specific conditions, actions, and expected results
C. Rely on automated test script tools to ensure maximum test coverage
D. Delegate unit testing to application end users because they understand the requirements best
Answer: A,B