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NEW QUESTION: 1
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. Amazon Kinesis Data Analytics
D. Amazon EC2
E. AWS Lambda
Answer: B,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
NEW QUESTION: 2
UDLDの利点は何ですか？
A. ファイバーにバックアップを提供する
B. ループを妨げることでの手助け
C. ループを削除する
D. スイッチパスを決定する
Answer: B
NEW QUESTION: 3
You have an Azure subscription.
You have an on-premises virtual machine named VM1. The settings for VM1 are shown in the exhibit. (Click the Exhibit tab.)
You need to ensure that you can use the disks attached to VM1 as a template for Azure virtual machines.
What should you modify on VM1?
A. Integration Services
B. the network adapters
C. the processor
D. the hard drive
E. the memory
Answer: D
Explanation:
Explanation
From the exhibit we see that the disk is in the VHDX format.
Before you upload a Windows virtual machines (VM) from on-premises to Microsoft Azure, you must prepare the virtual hard disk (VHD or VHDX). Azure supports only generation 1 VMs that are in the VHD file format and have a fixed sized disk. The maximum size allowed for the VHD is 1,023 GB. You can convert a generation 1 VM from the VHDX file system to VHD and from a dynamically expanding disk to fixed-sized.
References:
https://docs.microsoft.com/en-us/azure/virtual-machines/windows/prepare-for-upload-vhd-image?toc=azure virtual-machines windows toc.json
NEW QUESTION: 4
A. Option M
B. Option A
C. Option I
D. Option F
E. Option B
F. Option G
G. Option N
H. Option D
I. Option H
J. Option O
K. Option E
L. Option K
M. Option J
N. Option C
O. Option L
Answer: F