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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q431-Q436):

NEW QUESTION # 431
A company has multiple AWS Site-to-Site VPN connections placed between their VPCs and their remote network. During peak hours, many employees are experiencing slow connectivity issues, which limits their productivity. The company has asked a solutions architect to scale the throughput of the VPN connections.
Which solution should the architect carry out?

A. Associate the VPCs to an Equal Cost Multipath Routing (ECMR)-enabled transit gateway and attach additional VPN tunnels.
B. Add more virtual private gateways to a VPC and enable Equal Cost Multipath Routing (ECMR) to get higher VPN bandwidth.
C. Re-route some of the VPN connections to a secondary customer gateway device on the remote network's end.
D. Modify the VPN configuration by increasing the number of tunnels to scale the throughput.

Answer: A

Explanation:
With AWS Transit Gateway, you can simplify the connectivity between multiple VPCs and also connect to any VPC attached to AWS Transit Gateway with a single VPN connection.

AWS Transit Gateway also enables you to scale the IPsec VPN throughput with equal-cost multi-path (ECMP) routing support over multiple VPN tunnels. A single VPN tunnel still has a maximum throughput of 1.25 Gbps. If you establish multiple VPN tunnels to an ECMP-enabled transit gateway, it can scale beyond the default limit of 1.25 Gbps.
Hence, the correct answer is: Associate the VPCs to an Equal Cost Multipath Routing (ECMR)-enabled transit gateway and attach additional VPN tunnels.
The option that says: Add more virtual private gateways to a VPC and enable Equal Cost Multipath Routing (ECMR) to get higher VPN bandwidth is incorrect because a VPC can only have a single virtual private gateway attached to it one at a time. Also, there is no option to enable ECMR in a virtual private gateway.
The option that says: Modify the VPN configuration by increasing the number of tunnels to scale the throughput is incorrect. The maximum tunnel for a VPN connection is two. You cannot increase this beyond its limit.
The option that says: Re-route some of the VPN connections to a secondary customer gateway device on the remote network's end is incorrect. This would only increase connection redundancy and won't increase throughput. For example, connections can failover to the secondary customer gateway device in case the primary customer gateway device becomes unavailable. References:
https://aws.amazon.com/premiumsupport/knowledge-center/transit-gateway-ecmp-multiple-tunnels/
https://aws.amazon.com/blogs/networking-and-content-delivery/scaling-vpn-throughput-using-aws-transit
-gateway/
Check out this AWS Transit Gateway Cheat Sheet:
https://tutorialsdojo.com/aws-transit-gateway/

NEW QUESTION # 432
A company has a large fleet of vehicles that are equipped with internet connectivity to send telemetry to the company. The company receives over 1 million data points every 5 minutes from the vehicles. The company uses the data in machine learning (ML) applications to predict vehicle maintenance needs and to preorder parts. The company produces visual reports based on the captured data. The company wants to migrate the telemetry ingestion, processing, and visualization workloads to AWS. Which solution will meet these requirements?

A. Use Amazon Timestream to for LiveAnalytics to store the data points. Grant Amazon SageMaker permission to access the data for processing. Use Amazon Athena to visualize the data.
B. Use Amazon Timestream for LiveAnalytics to store the data points. Grant Amazon SageMaker permission to access the data for processing. Use Amazon QuickSight to visualize the data.
C. Use Amazon Neptune to store the data points. Use Amazon Kinesis Data Streams to ingest data from Neptune into an AWS Lambda function for processing. Use Amazon QuickSight to visualize the data.
D. Use Amazon DynamoDB to store the data points. Use DynamoDB Connector to ingest data from DynamoDB into Amazon EMR for processing. Use Amazon QuickSight to visualize the data.

Answer: B

Explanation:
* Amazon Timestream: Purpose-built time series database optimized for telemetry and IoT data ingestion and analytics.
* Amazon SageMaker: Provides ML capabilities for predictive maintenance workflows.
* Amazon QuickSight: Efficiently generates interactive, real-time visual reports from Timestream data.
* Optimized for Scale: Timestream efficiently handles large-scale telemetry data with time-series indexing and queries.: Amazon Timestream Documentation

NEW QUESTION # 433
A company runs its Infrastructure on AWS and has a registered base of 700.000 users for res document management application The company intends to create a product that converts large pdf files to jpg Imago files. The .pdf files average 5 MB in size. The company needs to store the original files and the converted files.
A solutions architect must design a scalable solution to accommodate demand that will grow rapidly over lime.
Which solution meets these requirements MOST cost-effectively?

A. Upload the .pdf files to an AWS Elastic Beanstalk application that includes Amazon EC2 instances, Amazon Elastic File System (Amazon EPS) storage, and an Auto Scaling group. Use a program in the EC2 instances to convert the file to jpg format Save the pdf files and the jpg files in the EBS store.
B. Save the pdf files to Amazon S3 Configure an S3 PUT event to invoke an AWS Lambda function to convert the files to jpg format and store them back in Amazon S3
C. Upload the pdf files to an AWS Elastic Beanstalk application that includes Amazon EC2 instances.
Amazon Elastic Block Store (Amazon EBS) storage and an Auto Scaling group. Use a program In the EC2 instances to convert the files to jpg format Save the .pdf files and the .jpg files In the EBS store.
D. Save the pdf files to Amazon DynamoDB. Use the DynamoDB Streams feature to invoke an AWS Lambda function to convert the files to jpg format and store them hack in DynamoDB

Answer: B

Explanation:
Explanation
Elastic BeanStalk is expensive, and DocumentDB has a 400KB max to upload files. So Lambda and S3 should be the one.

NEW QUESTION # 434
A company used an Amazon RDS for MySQL DB instance during application testing. Before terminating the DB instance at the end of the test cycle, a solutions architect created two backups. The solutions architect created the first backup by using the mysqldump utility to create a database dump. The solutions architect created the second backup by enabling the final DB snapshot option on RDS termination.
The company is now planning for a new test cycle and wants to create a new DB instance from the most recent backup. The company has chosen a MySQL-compatible edition of Amazon Aurora to host the DB instance.
Which solutions will create the new DB instance? (Select TWO.)

A. Upload the RDS snapshot to Amazon S3. Then import the RDS snapshot into Aurora.
B. Use AWS Database Migration Service (AWS DMS) to import the RDS snapshot into Aurora.
C. Upload the database dump to Amazon S3. Then use AWS Database Migration Service (AWS DMS) to import the database dump into Aurora.
D. Import the RDS snapshot directly into Aurora.
E. Upload the database dump to Amazon S3. Then import the database dump into Aurora.

Answer: D,E

Explanation:
These answers are correct because they meet the requirements of creating a new DB instance from the most recent backup and using a MySQL-compatible edition of Amazon Aurora to host the DB instance. You can import the RDS snapshot directly into Aurora if the MySQL DB instance and the Aurora DB cluster are running the same version of MySQL. For example, you can restore a MySQL version 5.6 snapshot directly to Aurora MySQL version 5.6, but you can't restore a MySQL version 5.6 snapshot directly to Aurora MySQL version 5.7. This method is simple and requires the fewest number of steps. You can upload the database dump to Amazon S3 and then import the database dump into Aurora if the MySQL DB instance and the Aurora DB cluster are running different versions of MySQL. For example, you can import a MySQL version 5.6 database dump into Aurora MySQL version 5.7, but you can't restore a MySQL version 5.6 snapshot directly to Aurora MySQL version 5.7. This method is more flexible and allows you to migrate across different versions of MySQL.
References:
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.Migrating.RDSMySQ
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.Migrating.RDSMySQ

NEW QUESTION # 435
An organization plans to use an AWS Direct Connect connection to establish a dedicated connection between its on-premises network and AWS. The organization needs to launch a fully managed solution that will automate and accelerate the replication of data to and from various AWS storage services.
Which of the following solutions would you recommend?

A. Use an AWS DataSync agent to rapidly move the data over a service endpoint.
B. Use an AWS Storage Gateway tape gateway to store data on virtual tape cartridges and asynchronously copy your backups to AWS.
C. Use an AWS DataSync agent to rapidly move the data over the Internet.
D. Use an AWS Storage Gateway file gateway to store and retrieve files directly using the SMB file system protocol.

Answer: A

Explanation:
AWS DataSync allows you to copy large datasets with millions of files, without having to build custom solutions with open source tools or license and manage expensive commercial network acceleration software. You can use DataSync to migrate active data to AWS, transfer data to the cloud for analysis and processing, archive data to free up on-premises storage capacity, or replicate data to AWS for business continuity.
AWS DataSync simplifies, automates, and accelerates copying large amounts of data to and from AWS storage services over the internet or AWS Direct Connect. DataSync can copy data between Network File System (NFS), Server Message Block (SMB) file servers, self-managed object storage, or AWS Snowcone, and Amazon Simple Storage Service (Amazon S3) buckets, Amazon EFS file systems, and Amazon FSx for Windows File Server file systems.

You deploy an AWS DataSync agent to your on-premises hypervisor or in Amazon EC2. To copy data to or from an on-premises file server, you download the agent virtual machine image from the AWS Console and deploy to your on-premises VMware ESXi, Linux Kernel-based Virtual Machine (KVM), or Microsoft Hyper-V hypervisor. To copy data to or from an in-cloud file server, you create an Amazon EC2 instance using a DataSync agent AMI. In both cases the agent must be deployed so that it can access your file server using the NFS, SMB protocol, or the Amazon S3 API. To set up transfers between your AWS Snowcone device and AWS storage, use the DataSync agent AMI that comes pre-installed on your device.
Since the scenario plans to use AWS Direct Connect for private connectivity between on-premises and AWS, you can use DataSync to automate and accelerate online data transfers to AWS storage services.
The AWS DataSync agent will be deployed in your on-premises network to accelerate data transfer to AWS. To connect programmatically to an AWS service, you will need to use an AWS Direct Connect service endpoint.
Hence, the correct answer is: Use an AWS DataSync agent to rapidly move the data over a service endpoint.
The option that says: Use AWS DataSync agent to rapidly move the data over the Internet is incorrect because the organization will be using an AWS Direct Connect connection for private connectivity. This means that the connection will not pass through the public Internet.
The options that say: Use AWS Storage Gateway tape gateway to store data on virtual tape cartridges and asynchronously copy your backups to AWS and Use AWS Storage Gateway file gateway to store and retrieve files directly using the SMB file system protocol are both incorrect because, in the scenario, you need to accelerate the replication of data, and not establish a hybrid cloud storage architecture.
AWS Storage Gateway only supports a few AWS storage services as a target based on the type of gateway that you launched. AWS DataSync is more suitable in automating and accelerating online data transfers to a variety of AWS storage services.
References:
https://aws.amazon.com/datasync/faqs/
https://docs.aws.amazon.com/datasync/latest/userguide/what-is-datasync.html
https://docs.aws.amazon.com/general/latest/gr/dc.html
AWS DataSync Overview:
https://www.youtube.com/watch?v=uQDVZfj_VEA
Check out this AWS DataSync Cheat Sheet:
https://tutorialsdojo.com/aws-datasync/

NEW QUESTION # 436
......

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