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NEW QUESTION: 1
Which statement about the differences between vSwitch and DVS is true?
A. vSwitch supports Spanning Tree Protocol.
B. DVS supports private VLAN.
C. vSwitch supports private VLAN.
D. DVS supports Spanning Tree Protocol.
Answer: B

NEW QUESTION: 2
A solutions architect is tasked with transferring 750 TB of data from a network-attached file system located at a branch office to Amazon S3 Glacier The solution must avoid saturating the branch office's low-bandwidth internet connection.
What is the MOST cost-effective solution?
A. Order 10 AWS Snowball appliances and select an Amazon S3 bucket as the destination. Create a lifecycle policy to transition the S3 objects to Amazon S3 Glacier Regional Limitations for AWS Snowball The AWS Snowball service has two device types, the standard Snowball and the Snowball Edge. The following table highlights which of these devices are available in which regions.
B. Create a site-to-site VPN tunnel to an Amazon S3 bucket and transfer the files directly Create a bucket policy to enforce a VPC endpoint
C. Mount the network-attached file system to Amazon S3 and copy the files directly. Create a lifecycle policy to transition the S3 objects to Amazon S3 Glacier
D. Order 10 AWS Snowball appliances and select an S3 Glacier vault as the destination Create a bucket policy to enforce a VPC endpoint
Answer: A
Explanation:

Limitations on Jobs in AWS Snowball
The following limitations exist for creating jobs in AWS Snowball:
For security purposes, data transfers must be completed within 90 days of the Snowball being prepared.
Currently, AWS Snowball Edge device doesn't support server-side encryption with customer-provided keys (SSE-C). AWS Snowball Edge device does support server-side encryption with Amazon S3-managed encryption keys (SSE-S3) and server-side encryption with AWS Key Management Service-managed keys (SSE-KMS). For more information, see Protecting Data Using Server-Side Encryption in the Amazon Simple Storage Service Developer Guide.
In the US regions, Snowballs come in two sizes: 50 TB and 80 TB. All other regions have the 80 TB Snowballs only. If you're using Snowball to import data, and you need to transfer more data than will fit on a single Snowball, create additional jobs. Each export job can use multiple Snowballs.
The default service limit for the number of Snowballs you can have at one time is 1. If you want to increase your service limit, contact AWS Support.
All objects transferred to the Snowball have their metadata changed. The only metadata that remains the same is filename and filesize. All other metadata is set as in the following example: -rw-rw-r-- 1 root root [filesize] Dec 31 1969 [path/filename] Object lifecycle management To manage your objects so that they are stored cost effectively throughout their lifecycle, configure their Amazon S3 Lifecycle. An S3 Lifecycle configuration is a set of rules that define actions that Amazon S3 applies to a group of objects. There are two types of actions:
Transition actions-Define when objects transition to another storage class. For example, you might choose to transition objects to the S3 Standard-IA storage class 30 days after you created them, or archive objects to the S3 Glacier storage class one year after creating them.
Expiration actions-Define when objects expire. Amazon S3 deletes expired objects on your behalf.
The lifecycle expiration costs depend on when you choose to expire objects.
https://docs.aws.amazon.com/snowball/latest/ug/limits.html
https://docs.aws.amazon.com/AmazonS3/latest/dev/object-lifecycle-mgmt.html

NEW QUESTION: 3
A company that provides wireless services needs a solution to store and analyze log files about user activities.
Currently, log files are delivered daily to Amazon Linux on Amazon EC2 instance. A batch script is run once a day to aggregate data used for analysis by a third-party tool. The data pushed to the third-party tool is used to generate a visualization for end users. The batch script is cumbersome to maintain, and it takes several hours to deliver the ever-increasing data volumes to the third-party tool. The company wants to lower costs, and is open to considering a new tool that minimizes development effort and lowers administrative overhead. The company wants to build a more agile solution that can store and perform the analysis in near-real time, with minimal overhead. The solution needs to be cost effective and scalable to meet the company's end-user base growth.
Which solution meets the company's requirements?
A. Use an Amazon Kinesis agent running on an EC2 instance to collect and send the data to an Amazon Kinesis Data Firehose delivery stream. The Kinesis Data Firehose delivery stream will deliver the data to Amazon S3. Use an AWS Lambda function to deliver the data from Amazon S3 to Amazon ES. Use Kibana to visualize the data.
B. Develop a Python script to failure the data from Amazon EC2 in real time and store the data in Amazon S3. Use a copy command to copy data from Amazon S3 to Amazon Redshift. Connect a business intelligence tool running on Amazon EC2 to Amazon Redshift and create the visualizations.
C. Use an in-memory caching application running on an Amazon EBS-optimized EC2 instance to capture the log data in near real-time. Install an Amazon ES cluster on the same EC2 instance to store the log files as they are delivered to Amazon EC2 in near real-time. Install a Kibana plugin to create the visualizations.
D. Use an Amazon Kinesis agent running on an EC2 instance in an Auto Scaling group to collect and send the data to an Amazon Kinesis Data Forehose delivery stream. The Kinesis Data Firehose delivery stream will deliver the data directly to Amazon ES. Use Kibana to visualize the data.
Answer: C

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