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| Section | Weight | Objectives |
|---|---|---|
| Design Cost-Optimized Architectures | 20% | - Cost management tools
|
| Design Resilient Architectures | 26% | - Fault tolerance and recovery
|
| Design Secure Architectures | 30% | - Secure workloads and applications
|
| Design High-Performing Architectures | 24% | - Performance scaling
|
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NEW QUESTION # 130
[Design High-Performing Architectures]
A company has a large amount of data in an Amazon DynamoDB table. A large batch of data is appended to the table once each day. The company wants a solution that will make all the existing and future data in DynamoDB available for analytics on a long-term basis. Which solution meets these requirements with the LEAST operational overhead?
Answer: A
Explanation:
Incremental Exports: Exporting DynamoDB data directly to Amazon S3 provides an automated, serverless way to make data available for analytics without operational overhead.
Analytics-Friendly Storage: Amazon S3 supports long-term analytics workloads and can integrate with tools like Athena or QuickSight.
DynamoDB Export to S3 Documentation
NEW QUESTION # 131
A company uses an organization in AWS Organizations to manage five AWS accounts. The company requires a centralized solution to prevent anyone from creating IAM users or access keys in any account.
Which solution will meet this requirement with the LEAST administrative overhead?
Answer: A
Explanation:
Aservice control policyattached at the organization root is the right preventive control because SCPs define the maximum permissions for principals in member accounts across the organization. AWS documentation states that SCPs restrict permissions for IAM users and roles in member accounts and that an explicit deny overrides allows from other policies. That makes an SCP the cleanest centralized way to block creation of IAM users and access keys everywhere. Inline user policies would be harder to maintain, and GuardDuty or Config would be detective or corrective controls rather than the preventive control the question asks for.
NEW QUESTION # 132
A company has an OLTP (Online Transactional Processing) application that is hosted in an Amazon ECS cluster using the Fargate launch type. It has an Amazon RDS database that stores data of its production website. The Data Analytics team needs to run queries against the database to track and audit all user transactions. These query operations against the production database must not impact application performance in any way.
Which of the following is the MOST suitable and cost-effective solution that you should implement?
Answer: D
Explanation:
Amazon RDS Read Replicas provide enhanced performance and durability for database (DB) instances.
This feature makes it easy to elastically scale out beyond the capacity constraints of a single DB instance for read-heavy database workloads.
You can create one or more replicas of a given source DB Instance and serve high-volume application read traffic from multiple copies of your data, thereby increasing aggregate read throughput. Read replicas can also be promoted when needed to become standalone DB instances. Read replicas are available in Amazon RDS for MySQL, MariaDB, Oracle and PostgreSQL, as well as Amazon Aurora.
You can reduce the load on your source DB instance by routing read queries from your applications to the read replica. These replicas allow you to elastically scale out beyond the capacity constraints of a single DB instance for read-heavy database workloads.
Because read replicas can be promoted to master status, they are useful as part of a sharding implementation. To shard your database, add a read replica and promote it to master status, then, from each of the resulting DB Instances, delete the data that belongs to the other shard.
Hence, the correct answer is: Set up a new Amazon RDS Read Replica of the production database.
Direct the Data Analytics team to query the production data from the replica.
The option that says: Set up a new Amazon Redshift database cluster. Migrate the product database into Redshift and allow the Data Analytics team to fetch data from it is incorrect because Redshift is primarily used for OLAP (Online Analytical Processing) applications and not for OLTP.
The option that says: Set up a Multi-AZ deployments configuration of your production database in RDS.
Direct the Data Analytics team to query the production data from the standby instance is incorrect because you can't directly connect to the standby instance. This is only used in the event of a database failover when your primary instance encountered an outage.
The option that says: Upgrade the instance type of the RDS database to a large instance is incorrect because this entails a significant amount of cost. Moreover, the production database could still be affected by the queries done by the Data Analytics team. A better solution for this scenario is to use a Read Replica instead.
References:
https://aws.amazon.com/caching/database-caching/
https://aws.amazon.com/rds/details/read-replicas/
https://aws.amazon.com/elasticache/
Check out this Amazon RDS Cheat Sheet:
https://tutorialsdojo.com/amazon-relational-database-service-amazon-rds/
NEW QUESTION # 133
A company uses AWS Organizations to manage multiple AWS accounts for different departments. The management account has an Amazon S3 bucket that contains project reports. The company wants to limit access to this S3 bucket to only users of accounts within the organization in AWS Organizations.
Which solution meets these requirements with the LEAST amount of operational overhead?
Answer: B
Explanation:
Explanation
https://aws.amazon.com/blogs/security/control-access-to-aws-resources-by-using-the-aws-organization-of-iam-p The aws:PrincipalOrgID global key provides an alternative to listing all the account IDs for all AWS accounts in an organization. For example, the following Amazon S3 bucket policy allows members of any account in the XXX organization to add an object into the examtopics bucket.
{"Version": "2020-09-10",
"Statement": {
"Sid": "AllowPutObject",
"Effect": "Allow",
"Principal": "*",
"Action": "s3:PutObject",
"Resource": "arn:aws:s3:::examtopics/*",
"Condition": {"StringEquals":
{"aws:PrincipalOrgID":["XXX"]}}}}
https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_policies_condition-keys.html
NEW QUESTION # 134
A solutions architect must design a solution that uses Amazon CloudFront with an Amazon S3 origin to serve a static website. The solution must use AWS WAF to inspect all website traffic.
Which solution will meet these requirements?
Answer: D
Explanation:
The correct and secure approach is to use Amazon CloudFront with Origin Access Control (OAC) to protect the S3 origin and attach AWS WAF to the CloudFront distribution to inspect and filter traffic at the edge before reaching the origin.
"AWS WAF is integrated with Amazon CloudFront, allowing inspection of HTTP(S) requests at the edge location before forwarding to your origin. To restrict direct access to the S3 bucket, use Origin Access Control (OAC)." Why Option D is correct:
CloudFront is the only service that integrates with AWS WAF for full HTTP layer inspection.
Origin Access Control (OAC) ensures that only CloudFront can access the S3 origin-replacing older Origin Access Identity (OAI) features.
The S3 bucket policy is configured to trust requests only from CloudFront using OAC signed requests.
Why the other options are incorrect:
Option A: WAF ARN is not a principal in S3 bucket policy. IAM does not support bucket policies based on WAF ARNs.
Option B: Incorrect - CloudFront doesn't";forward requests to WAF"; rather, WAF is associated with CloudFront and inspects requests at the edge.
Option C: S3 does not use security groups; they are for EC2/network interfaces. This shows a misunderstanding of how S3 works.
NEW QUESTION # 135
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