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NEW QUESTION: 1
Company
C is currently hosting their corporate site in an Amazon S3 bucket with Static Website Hosting enabled.
Currently, when visitors go to http://www.companyc.com the index.html page is returned. Company C now would like a new page welcome.html to be returned when a visitor enters http://www.companyc.com in the browser.
Which of the following steps will allow Company C to meet this requirement? Choose 2 answers
A. Create a welcome subfolder in their S3 bucket
B. Upload an html page named welcome.html to their S3 bucket
C. Set the Error Document property to welcome.html
D. Set the Index Document property to welcome.html
E. Move the index.html page to a welcome subfolder
Answer: B,D
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonS3/latest/dev/WebsiteHosting.html
https://docs.aws.amazon.com/AmazonS3/latest/dev/HostingWebsiteOnS3Setup.html
NEW QUESTION: 2
In der folgenden Tabelle sind die virtuellen Azure-Netzwerke aufgeführt.
Zu welchen virtuellen Netzwerken können Sie eine Peering-Verbindung von VNet1 herstellen?
A. VNet2 and VNet3 only
B. VNet3 and VNet4 only
C. VNet2 only
D. VNet2, VNet3, and VNet4
Answer: D
Explanation:
Erläuterung
Verweise:
https://docs.microsoft.com/en-us/azure/virtual-network/tutorial-connect-virtual-networks-portal
NEW QUESTION: 3
A company captures clickstream data from multiple websites and analyzes it using batch processing. The data is loaded nightly into Amazon Redshift and is consumed by business analysts. The company wants to move towards near-real-time data processing for timely insights. The solution should process the streaming data with minimal effort and operational overhead.
Which combination of AWS services are MOST cost-effective for this solution? (Choose two.)
A. Amazon Kinesis Data Firehose
B. Amazon Kinesis Data Streams
C. AWS Lambda
D. Amazon EC2
E. Amazon Kinesis Data Analytics
Answer: A,C
Explanation:
Explanation
Kinesis Data Streams and Kinesis Client Library (KCL) - Data from the data source can be continuously captured and streamed in near real-time using Kinesis Data Streams.
With the Kinesis Client Library (KCL), you can build your own application that can preprocess the streaming data as they arrive and emit the data for generating incremental views and downstream analysis.
Kinesis Data Analytics - This service provides the easiest way to process the data that is streaming through Kinesis Data Stream or Kinesis Data Firehose using SQL. This enables customers to gain actionable insight in near real-time from the incremental stream before storing it in Amazon S3.
https://d1.awsstatic.com/whitepapers/lambda-architecure-on-for-batch-aws.pdf