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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q32-Q37):
NEW QUESTION # 32
A company's website is used to sell products to the public. The site runs on Amazon EC2 instances in an Auto Scaling group behind an Application Load Balancer (ALB). There is also an Amazon CloudFront distribution, and AWS WAF is being used to protect against SQL injection attacks. The ALB is the origin for the CloudFront distribution. A recent review of security logs revealed an external malicious IP that needs to be blocked from accessing the website.
What should a solutions architect do to protect the application?
Answer: C
Explanation:
AWS WAF is a web application firewall that helps protect web applications from common web exploits that could affect application availability, compromise security, or consume excessive resources. AWS WAF allows users to create rules that block, allow, or count web requests based on customizable web security rules. One of the types of rules that can be created is an IP match rule, which allows users to specify a list of IP addresses or IP address ranges that they want to allow or block. By modifying the configuration of AWS WAF to add an IP match condition to block the malicious IP address, the solution architect can prevent the attacker from accessing the website through the CloudFront distribution and the ALB.
The other options are not correct because they do not effectively block the malicious IP address from accessing the website. Modifying the network ACL on the CloudFront distribution or the EC2 instances in the target groups behind the ALB will not work because network ACLs are stateless and do not evaluate traffic at the application layer. Modifying the security groups for the EC2 instances in the target groups behind the ALB will not work because security groups are stateful and only evaluate traffic at the instance level, not at the load balancer level.
Reference:
AWS WAF
How AWS WAF works
Working with IP match conditions
NEW QUESTION # 33
A company has stored 200 TB of backup files in Amazon S3. The files are in a vendor-proprietary format. The Solutions Architect needs to use the vendor's proprietary file conversion software to retrieve the files from their Amazon S3 bucket, transform the files to an industry-standard format, and re-upload the files back to Amazon S3. The solution must minimize the data transfer costs.
Which of the following options can satisfy the given requirement?
Answer: B
Explanation:
Amazon S3 is object storage built to store and retrieve any amount of data from anywhere on the Internet. It's a simple storage service that offers industry-leading durability, availability, performance, security, and virtually unlimited scalability at very low costs. Amazon S3 is also designed to be highly flexible. Store any type and amount of data that you want; read the same piece of data a million times or only for emergency disaster recovery; build a simple FTP application or a sophisticated web application.
You pay for all bandwidth into and out of Amazon S3, except for the following:
- Data transferred in from the Internet.
- Data transferred out to an Amazon EC2 instance, when the instance is in the same AWS Region as the S3 bucket (including to a different account in the same AWS region).
- Data transferred out to Amazon CloudFront.
To minimize the data transfer charges, you need to deploy the EC2 instance in the same Region as Amazon S3. Take note that there is no data transfer cost between S3 and EC2 in the same AWS Region.
Install the conversion software on the instance to perform data transformation and re-upload the data to Amazon S3.
Hence, the correct answer is: Deploy the EC2 instance in the same Region as Amazon S3. Install the file conversion software on the instance. Perform data transformation and re-upload it to Amazon S3.
The option that says: Install the file conversion software in Amazon S3. Use S3 Batch Operations to perform data transformation is incorrect because it is not possible to install the software in Amazon S3.
The S3 Batch Operations just runs multiple S3 operations in a single request. It can't be integrated with your conversion software.
The option that says: Export the data using AWS Snowball Edge device. Install the file conversion software on the device. Transform the data and re-upload it to Amazon S3 is incorrect. Although this is possible, it is not mentioned in the scenario that the company has an on-premises data center. Thus, there's no need for Snowball.
The option that says: Deploy the EC2 instance in a different Region. Install the file conversion software on the instance. Perform data transformation and re-upload it to Amazon S3 is incorrect because this approach wouldn't minimize the data transfer costs. You should deploy the instance in the same Region as Amazon S3.
References:
https://aws.amazon.com/s3/pricing/
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AmazonS3.html
Check out this Amazon S3 Cheat Sheet:
https://tutorialsdojo.com/amazon-s3/
NEW QUESTION # 34
A company stores several petabytes of data across multiple AWS accounts The company uses AWS Lake Formation to manage its data lake The company's data science team wants to securely share selective data from its accounts with the company's engineering team for analytical purposes.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: A
Explanation:
Understanding the Requirement: The data science team needs to securely share selective data with the engineering team across multiple AWS accounts with minimal operational overhead.
Analysis of Options:
Copy data to a common account: Involves data duplication and increased storage costs, and requires managing additional permissions.
Lake Formation permissions Grant command: This method can be effective but may involve significant operational overhead if managing permissions across multiple accounts and datasets manually.
AWS Data Exchange: Designed for sharing data externally or between organizations, which adds unnecessary complexity for internal sharing within the same organization.
Lake Formation tag-based access control: Provides a scalable and efficient way to manage access permissions based on tags, allowing fine-grained control and simplified management across accounts.
Best Solution:
Lake Formation tag-based access control: This solution meets the requirements with the least operational overhead, allowing efficient management of cross-account permissions and secure data sharing.
Reference:
AWS Lake Formation
Tag-based access control
NEW QUESTION # 35
A development team uses multiple AWS accounts for its development, staging, and production environments.
Team members have been launching large Amazon EC2 instances that are underutilized. A solutions architect must prevent large instances from being launched in all accounts.
How can the solutions architect meet this requirement with the LEAST operational overhead?
Answer: B
Explanation:
Understanding the Requirement: The development team needs to prevent the launch of large EC2 instances across multiple AWS accounts used for development, staging, and production environments.
Analysis of Options:
IAM Policies: Would need to be applied individually to each user in every account, leading to significant operational overhead.
AWS Resource Access Manager: Used for sharing resources, not for enforcing restrictions on resource creation.
IAM Role in Each Account: Requires creating and managing roles in each account, leading to higher operational overhead compared to using a centralized approach.
Service Control Policy (SCP) with AWS Organizations: Provides a centralized way to enforce policies across multiple AWS accounts, ensuring that large EC2 instances cannot be launched in any account.
Best Solution:
Service Control Policy (SCP) with AWS Organizations: This solution offers the least operational overhead by allowing centralized management and enforcement of policies across all accounts, effectively preventing the launch of large EC2 instances.
References:
AWS Organizations and SCPs
NEW QUESTION # 36
A company needs to retain application logs files for a critical application for 10 years. The application team regularly accesses logs from the past month for troubleshooting, but logs older than 1 month are rarely accessed. The application generates more than 10 TB of logs per month.
Which storage option meets these requirements MOST cost-effectively?
Answer: A
Explanation:
You need S3 to be able to archive the logs after one month. Cannot do that with CloudWatch Logs.
NEW QUESTION # 37
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