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Amazon AWS Certified Solutions Architect - Professional Sample Questions (Q280-Q285):

NEW QUESTION # 280
Which of the following statements is correct about AWS Direct Connect?

A. Connections to AWS Direct Connect require double clad fiber for 1 gigabit Ethernet with Auto
Negotiation enabled for the port.
B. AWS Direct Connect links your internal network to an AWS Direct Connect location over a standard 50
gigabit Ethernet cable.
C. To use AWS Direct Connect, your network must be colocated with a new AWS Direct Connect location.
D. An AWS Direct Connect location provides access to Amazon Web Services in the region it is
associated with.

Answer: D

Explanation:
AWS Direct Connect links your internal network to an AWS Direct Connect location over a standard 1
gigabit or 10 gigabit Ethernet fiber-optic cable. An AWS Direct Connect location provides access to
Amazon Web Services in the region it is associated with, as well as access to other US regions. To use
AWS Direct Connect, your network is colocated with an existing AWS Direct Connect location.
Connections to AWS Direct Connect require single mode fiber, 1000BASE-LX (1310nm) for 1 gigabit
Ethernet, or 10GBASE-LR (1310nm) for 10 gigabit Ethernet. Auto Negotiation for the port must be
disabled.
Reference: http://docs.aws.amazon.com/directconnect/latest/UserGuide/Welcome.html

NEW QUESTION # 281
A company is launching a new online game on Amazon EC2 instances. The game must be available globally.
The company plans to run the game in three AWS Regions: us-east-1, eu-west-1, and ap-southeast-1. The game's leaderboards. player inventory, and event status must be available across Regions.
A solutions architect must design a solution that will give any Region the ability to scale to handle the load of all Regions. Additionally, users must automatically connect to the Region that provides the least latency.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create an Auto Scaling group for the EC2 instances. Attach the Auto Scaling group to a Network Load Balancer (NLB) in each Region. For each Region, create an Amazon Route 53 entry that uses geoproximity routing and points to the NLB in that Region. Save the game metadata to MySQL databases on EC2 instances in each Region. Save the game metadata to MySQL databases on EC2 instances in each Region. Set up replication between the database EC2 instances in each Region.
B. Create an EC2 Spot Fleet. Attach the Spot Fleet to a Network Load Balancer (NLB) in each Region.
Create an AWS Global Accelerator IP address that points to the NLB. Create an Amazon Route 53 latency-based routing entry for the Global Accelerator IP address. Save the game metadata to an Amazon RDS for MySQL DB instance in each Region. Set up a read replica in the other Regions.
C. Create an Auto Scaling group for the EC2 instances. Attach the Auto Scaling group to a Network Load Balancer (NLB) in each Region. For each Region, create an Amazon Route 53 entry that uses latency-based routing and points to the NLB in that Region. Save the game metadata to an Amazon DynamoDB global table.
D. Use EC2 Global View. Deploy the EC2 instances to each Region. Attach the instances to a Network Load Balancer (NLB). Deploy a DNS server on an EC2 instance in each Region. Set up custom logic on each DNS server to redirect the user to the Region that provides the lowest latency. Save the game metadata to an Amazon Aurora global database.

Answer: C

Explanation:
The best option is to use an Auto Scaling group, a Network Load Balancer, Amazon Route 53, and Amazon DynamoDB to create a scalable, highly available, and low-latency online game application. An Auto Scaling group can automatically adjust the number of EC2 instances based on the demand and traffic in each Region.
A Network Load Balancer can distribute the incoming traffic across the EC2 instances and handle millions of requests per second. Amazon Route 53 can use latency-based routing to direct the users to the Region that provides the best performance. Amazon DynamoDB global tables can replicate the game metadata across multiple Regions, ensuring consistency and availability of the data. This approach minimizes the operational overhead and cost, as it leverages fully managed services and avoids custom logic or replication.
Option A is not optimal because using an EC2 Spot Fleet can introduce the risk of losing the EC2 instances if the Spot price exceeds the bid price, which can affect the availability and performance of the game. Using AWS Global Accelerator can improve the network performance, but it is not necessary if Amazon Route 53 can already route the users to the closest Region. Using Amazon RDS for MySQL can store the game metadata, but it requires setting up read replicas and managing the replication lag across Regions, which can increase the complexity and cost.
Option B is not optimal because using geoproximity routing can direct the users to the Region that is geographically closer, but it does not account for the network latency or performance. Using MySQL databases on EC2 instances can store the game metadata, but it requires managing the EC2 instances, the database software, the backups, the patches, and the replication across Regions, which can increase the operational overhead and cost.
Option D is not optimal because using EC2 Global View is not a valid service. Using a custom DNS server on an EC2 instance can redirect the user to the Region that provides the lowest latency, but it requires developing and maintaining the custom logic, as well as managing the EC2 instance, which can increase the operational overhead and cost. Using Amazon Aurora global database can store the game metadata, but it is more expensive and complex than using Amazon DynamoDB global tables.
References:
Auto Scaling groups
Network Load Balancer
Amazon Route 53
Amazon DynamoDB global tables

NEW QUESTION # 282
A company wants to allow its Marketing team to perform SQL queries on customer records to identify market segments. The data is spread across hundreds of files. The records must be encrypted in transit and at rest. The Team Manager must have the ability to manage users and groups, but no team members should have access to services or resources not required for the SQL queries. Additionally, Administrators need to audit the queries made and receive notifications when a query violates rules defined by the Security team.
AWS Organizations has been used to create a new account and an AWS IAM user with administrator permissions for the Team Manager.
Which design meets these requirements?

A. Apply a service control policy (SCP) that denies to all services except IAM, Amazon DynamoDB, and AWS CloudTrail. Store customer records in DynamoDB and train users to execute queries using the AWS CLI. Enable DynamoDB streams to track the queries that are issued and use an AWS Lambda function for real-time monitoring and alerting.
B. Apply a service control policy (SCP) that denies access to all services except IAM, Amazon Athena, Amazon S3, and AWS CloudTrail. Store customer record files in Amazon S3 and train users to execute queries using the CLI via Athena. Analyze CloudTrail events to audit and alarm on queries against personal data.
C. Apply a service control policy (SCP) that allows to IAM, Amazon Athena, Amazon S3, and AWS CloudTrail. Store customer records as files in Amazon S3 and train users to leverage the Amazon S3 Select feature and execute queries using the AWS CLI. Enable S3 object-level logging and analyze CloudTrail events to audit and alarm on queries against personal data.
D. Apply a service control policy (SCP) that allows access to IAM, Amazon RDS, and AWS CloudTrail.
Load customer records in Amazon RDS MySQL and train users to execute queries using the AWS CLI. Stream the query logs to Amazon CloudWatch Logs from the RDS database instance. use a subscription filter with AWS lambda functions to audit and alarm on queries against personal data.

Answer: B

NEW QUESTION # 283
What is the maximum write throughput I can provision for a single Dynamic DB table?

A. Dynamic DB is designed to scale without limits, but if you go beyond 10,000 you have to contact AWS first.
B. 10,000 write capacity units
C. 100,000 write capacity units
D. 1,000 write capacity units

Answer: A

Explanation:
Explanation
https://aws.amazon.com/dynamodb/faqs/

NEW QUESTION # 284
A company is running a data-intensive application on AWS. The application runs on a cluster of hundreds of Amazon EC2 instances. A shared file system also runs on several EC2 instances that store 200 TB of data. The application reads and modifies the data on the shared file system and generates a report. The job runs once monthly, reads a subset of the files from the shared file system, and takes about 72 hours to complete. The compute instances scale in an Auto Scaling group, but the instances that host the shared file system run continuously. The compute and storage instances are all in the same AWS Region.
A solutions architect needs to reduce costs by replacing the shared file system instances. The file system must provide high performance access to the needed data for the duration of the 72-hour run.
Which solution will provide the LARGEST overall cost reduction while meeting these requirements?

A. Migrate the data from the existing shared file system to an Amazon S3 bucket. Before the job runs each month, use AWS Storage Gateway to create a file gateway with the data from Amazon S3. Use the file gateway as the shared storage for the job. Delete the file gateway when the job is complete.
B. Migrate the data from the existing shared file system to an Amazon S3 bucket that uses the S3 Standard storage class. Before the job runs each month, use Amazon FSx for Lustre to create a new file system with the data from Amazon S3 by using batch loading. Use the new file system as the shared storage for the duration of the job. Delete the file system when the job is complete.
C. Migrate the data from the existing shared file system to a large Amazon Elastic Block Store (Amazon EBS) volume with Multi-Attach enabled. Attach the EBS volume to each of the instances by using a user data script in the Auto Scaling group launch template. Use the EBS volume as the shared storage for the duration of the job. Detach the EBS volume when the job is complete.
D. Migrate the data from the existing shared file system to an Amazon S3 bucket that uses the S3 Intelligent-Tiering storage class. Before the job runs each month, use Amazon FSx for Lustre to create a new file system with the data from Amazon S3 by using lazy loading. Use the new file system as the shared storage for the duration of the job. Delete the file system when the job is complete.

Answer: D

Explanation:
Explanation
https://aws.amazon.com/blogs/storage/new-enhancements-for-moving-data-between-amazon-fsx-for-lustre-and-a

NEW QUESTION # 285
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