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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
Contoso, Ltd., uses Azure websites for public-facing customer websites. The company has a mobile app that requires customers sign in by using a Contoso customer account.
Customers must be able to sign on to the websites and mobile app by using a Microsoft, Facebook, or Google account. All transactions must be secured in-transit regardless of device.
You need to configure the websites and mobile app to work with external identity providers.
Which three actions should you perform? Each correct answer presents part of the solution.
A. Build an app by using MVC 5 that is hosted in Azure to provide a framework for the underlying authentication.
B. Configure OAuth2 to connect to an external authentication provider.
C. Configure IPsec for the websites and the mobile app.
D. Configure the KerberosTokenProfile 1.1 protocol.
E. Request a certificate from a domain registrar for the website URL, and enable TLS/SSL.
Answer: A,B,E
Explanation:
DE: This tutorial shows you how to build an ASP.NET MVC 5 web application that enables users to log in using OAuth 2.0 with credentials from an external authentication provider, such as Facebook, Twitter, LinkedIn, Microsoft, or Google.
A:
* You will now be redirected back to the Register page of the MvcAuth application where you can register your Google account. You have the option of changing the local email registration name used for your Gmail account, but you generally want to keep the default email alias (that is, the one you used for authentication). Click Register.
* To connect to authentication providers like Google and Facebook, you will need to set up IIS-Express to use SSL.
References: http://www.asp.net/mvc/overview/security/create-an-aspnet-mvc-5-app-with- facebook-and-google-oauth2-and-openid-sign-on
NEW QUESTION: 3
Cloudfront에서 제공되는 키를 사용하여 개인 콘텐츠를 제공해야 합니다. 이것이 어떻게 달성 될 수 있습니까?
선택 해주세요:
A. 키를 백엔드 분배에 추가하십시오.
B. 사전 서명 된 URL 만들기
C. S3 버킷에 키 추가
D. AWS 액세스 키 사용
Answer: B
Explanation:
설명
백엔드 배포 또는 S3 버킷에 키를 추가하지 않기 때문에 옵션 A와 B는 유효하지 않습니다.
옵션 D는 AWS 리소스에 프로그래밍 방식으로 액세스하기 때문에 유효하지 않습니다. Cloudfront 키 페어를 사용하여 사용자에게 배포 할 수 있는 신뢰할 수 있는 사전 서명 된 URL을 만들 수 있습니다. 서명 된 URL 및 서명 된 쿠키를 생성 할 수 있는 AWS 계정 지정 (신뢰할 수있는 서명자) 토픽
* 신뢰할 수 있는 서명자를 위한 CloudFront 키 페어 생성
* CloudFront 개인 키 재 포맷 (.NET 및 Java 전용)
배포판에 신뢰할 수 있는 서명자 추가
* 신뢰할 수있는 서명자가 활성화되어 있는지 확인 (선택 사항) 1 CloudFront 키 페어 회전 서명 된 URL 또는 서명 된 쿠키를 생성하려면 활성 CloudFront 키 페어가있는 하나 이상의 AWS 계정이 필요합니다. 이 accou는 신뢰할 수있는 서명자로 알려져 있습니다. 신뢰할 수있는 서명자는 두 가지 목적이 있습니다.
* 신뢰할 수있는 서명자의 AWS 계정 ID를 배포에 추가하자마자 CloudFront는 사용자에게 객체에 액세스하기 위해 서명 된 URL 또는 서명 된 쿠키를 요구합니다.
'서명 된 URL 또는 서명 된 쿠키를 만들 때 신뢰할 수있는 서명자의 키 쌍에서 개인 키를 사용하여 URL 또는 쿠키의 일부에 서명합니다. 누군가가 제한된 객체를 요청하면 CloudFront는 URL 또는 쿠키의 서명 된 부분을 서명되지 않은 부분과 비교하여 URL 또는 쿠키가 변조되지 않았 음을 확인합니다. CloudFront는 또한 URL 또는 쿠키가 유효한지 확인합니다 (예 : 만료 날짜 및 시간이 지났음을 의미).
Cloudfront 비공개 신뢰할 수있는 콘텐츠에 대한 자세한 내용을 보려면 다음 URL을 방문하십시오.
* https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/private-content-trusted-s 정답은 다음과 같습니다. 사전 서명 된 URL 만들기 전문가에게 피드백 / 질문 제출
NEW QUESTION: 4
Which option is recommended when gathering Optimizer system statistics on a regular basis to ensure optimal performance?
A. gather system statistics for several hours during normal workload periods
B. shut down any running applications prior to collection
C. gather system statistics after a performance issue has been reported
D. lock out user sessions and gather system statistics overnight
E. gather system statistics for several hours when there is no workload
Answer: A
Explanation:
Reference: https://docs.oracle.com/database/121/TGSQL/tgsql_stats.htm#TGSQL398
