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NEW QUESTION: 1
First of all, the multi-frequency combiner must be able to support the required working frequency band, and the closer its passband frequency is to the working frequency of the wireless system, the better, and there is no redundant passband, so as to ensure the best effect; secondly, it must be used for the combined with filtering function, the interval between ports should be greater than 80dB, which can minimize the interference between different systems.
A. False
B. True
Answer: B

NEW QUESTION: 2
Which of the following is the MOST critical security consideration when an enterprise outsource its major part of IT department to a third party whose servers are in foreign company?
A. The enterprise could not be able to monitor the compliance with its internal security and privacy guidelines
B. Explanation:
Laws and regulations of the country of origin may not be enforceable in foreign country and conversely, it is also true that laws and regulations of the foreign outsourcer may also impact the enterprise. Hence violation of applicable laws may not be recognized or rectified due to lack of knowledge of the local laws.
C. Additional network intrusion detection sensors should be installed, resulting in additional cost
D. A security breach notification may get delayed due to time difference
E. Laws and regulations of the country of origin may not be enforceable in foreign country
Answer: E
Explanation:
is incorrect. Outsourcing does not remove the enterprise's responsibility regarding internal requirements. Hence monitoring the compliance with its internal security and privacy guidelines is not a problem. Answer:A is incorrect. Security breach notification is not a problem and also time difference does not play any role in 24/7 environment. Pagers, cellular phones, telephones, etc. are there to communicate the notifications. Answer:D is incorrect. The need for additional network intrusion detection sensors is not a major problem as it can be easily managed. It only requires addition funding, but can be addressed.

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