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NEW QUESTION: 1
Scenario:
CGE decided to virtualize its server workloads and provide a virtual solution to all of its end users. CGE is looking for an image management process that is scalable, but would like to limit infrastructure requirements.
How should the architect design the image management process using XenServer Fast Clone?
A. Install a new Windows image utilizing a XenServer virtual machine prepared as the master image, install the Virtual Delivery Agent (VDA), and convert the virtual machine image to a vDisk using XenConvert.
B. Install a new Windows image utilizing a XenServer virtual machine prepared as the master image.
C. Install a new Windows image utilizing a XenServer virtual machine prepared as the master image, and include XenTools.
D. Install a new Windows image utilizing a XenServer virtual machine prepared as the master image, install the Virtual Delivery Agent (VDA), and convert the virtual machine image to a template.
Answer: A

NEW QUESTION: 2


Answer:
Explanation:

Explanation
The cluster will switch fabric interconnect b from subordinate to lead or primary.

NEW QUESTION: 3
A company wants to implement a wireless infrastructure on its campus to meet the needs of its BYOD initiative. The company has users with legacy devices and wants to accommodate them while delivering speed to other users who have modern systems. Which of the following standards BEST fits these requirements?
A. 802.11a
B. 802.11g
C. 802.11ac
D. 802.11b
Answer: C

NEW QUESTION: 4
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 Analytics
B. Amazon EC2
C. Amazon Kinesis Data Streams
D. AWS Lambda
E. Amazon Kinesis Data Firehose
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