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NEW QUESTION: 1
You are developing a solution using a Lambda architecture on Microsoft Azure.
The data at test layer must meet the following requirements:
Data storage:
*Serve as a repository (or high volumes of large files in various formats.
*Implement optimized storage for big data analytics workloads.
*Ensure that data can be organized using a hierarchical structure.
Batch processing:
*Use a managed solution for in-memory computation processing.
*Natively support Scala, Python, and R programming languages.
*Provide the ability to resize and terminate the cluster automatically.
Analytical data store:
*Support parallel processing.
*Use columnar storage.
*Support SQL-based languages.
You need to identify the correct technologies to build the Lambda architecture.
Which technologies should you use? To answer, select the appropriate options in the answer area NOTE: Each correct selection is worth one point.
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: 2
You administer an Azure Storage account named contosostorage. The account has a blob container to store image files.
A user reports being unable to access an image file.
You need to ensure that anonymous users can successfully read image files from the container.
Which log entry should you use to verify access?
A. Option C
B. Option B
C. Option A
D. Option D
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Check for GetBlob and for AnonymousSuccess.
Example: Get Blob AnonymousSuccess:
1.0;2011-07-
28T18:52:40.9241789Z;GetBlob;AnonymousSuccess;200;18;10;anonymous;;sally;blob;"http:// sally.blob.core.windows.net/thumbnails/lake.jpg?timeout=30000";"/sally/thumbnails/lake.jpg";a84aa705-
8a85-48c5-b064-b43bd22979c3;0;123.100.2.10;2009-09-
19;252;0;265;100;0;;;"0x8CE1B6EA95033D5";Thursday, 28-Jul-11 18:52:40 GMT;;;;"7/28/2011 6:52:40 PM ba98eb12-700b-4d53-9230-33a3330571fc" Reference: https://docs.microsoft.com/en-us/rest/api/storageservices/storage-analytics-log-format
NEW QUESTION: 3
Event Gridを使用して他のサービスと接続するアプリを作成しています。アプリのイベントデータは、コンプライアンスをチェックするサーバーレス機能に送信されます。この機能はあなたの会社によって維持されています。
あなたはあなたのリソースの範囲で新しいイベント購読を書きます。イベントは3特定期間後に無効化されなければなりません。セキュリティを確保するためにEvent Gridを設定する必要があります。
あなたは何を実装すべきですか？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：それぞれ正しい選択は1ポイントの価値があります。
Answer:
Explanation:
Explanation:
Box 1: SAS tokens
Custom topics use either Shared Access Signature (SAS) or key authentication. Microsoft recommends SAS, but key authentication provides simple programming, and is compatible with many existing webhook publishers.
In this case we need the expiration time provided by SAS tokens.
Box 2: ValidationCode handshake
Event Grid supports two ways of validating the subscription: ValidationCode handshake (programmatic) and ValidationURL handshake (manual).
If you control the source code for your endpoint, this method is recommended.
Incorrect Answers:
ValidationURL handshake (manual): In certain cases, you can't access the source code of the endpoint to implement the ValidationCode handshake. For example, if you use a third-party service (like Zapier or IFTTT), you can't programmatically respond with the validation code.
References:
https://docs.microsoft.com/en-us/azure/event-grid/security-authentication