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NEW QUESTION # 193
A company moves workloads from public subnets to private subnets to improve security. During testing, servers in the private subnets cannot reach an external API. The VPC has a CIDR block of 10.0.0.0/16, two public subnets, two private subnets, one internet gateway, and a NAT gateway in each private subnet.
The company must ensure that workloads in the private subnets can reach the external API.
Which solution will meet this requirement?
Answer: B
Explanation:
Comprehensive Explanation (250-350 words):
For IPv4 traffic, private subnets require a NAT gateway in a public subnet to access the internet. NAT gateways must be deployed in public subnets and associated with an Elastic IP address. Private subnet route tables must direct 0.0.0.0/0 traffic to the NAT gateway.
The question states that NAT gateways are incorrectly placed in private subnets, which cannot provide internet access. Deploying NAT gateways in public subnets resolves this issue and restores outbound connectivity to external APIs.
Option A applies only to IPv6. Option B adds unnecessary complexity. Option D is not applicable because external APIs are not AWS services.
NEW QUESTION # 194
A company deploys an application on Amazon EC2 instances in an Auto Scaling group behind an Application Load Balancer (ALB). The company wants to protect the application from SQL injection attacks.
Which solution will meet this requirement?
Answer: B
Explanation:
The AWS Cloud Operations and Security documentation confirms that AWS WAF (Web Application Firewall) is designed to protect web applications from application-layer threats, including SQL injection, cross-site scripting (XSS), and other OWASP Top 10 vulnerabilities.
When integrated with an Application Load Balancer, AWS WAF inspects incoming traffic using rule groups. The AWS Managed Rules for SQL Injection Protection provide preconfigured, continuously updated filters that detect and block malicious SQL patterns.
AWS Shield (Standard or Advanced) defends against DDoS attacks, not application-layer SQL attacks, and vulnerability scanners (Option C) only detect, not prevent, exploitation.
Thus, Option D provides the correct, managed, and automated protection aligned with AWS best practices.
Reference: AWS Cloud Operations & Security Guide - Protecting Applications from SQL Injection with AWS WAF Managed Rules
NEW QUESTION # 195
A company runs an application that logs user data to an Amazon CloudWatch Logs log group.
The company discovers that personal information the application has logged is visible in plain text in the CloudWatch logs.
The company needs a solution to redact personal information in the logs by default. Unredacted information must be available only to the company's security team. Which solution will meet these requirements?
Answer: C
Explanation:
CloudWatch Logs data protection provides native redaction/masking of sensitive data at ingestion and query. AWS documentation states it can "detect and protect sensitive data in logs" using data identifiers, and that authorized users can "use the unmask action to view the original data." Creating a data protection policy on the log group masks PII by default for all viewers, satisfying the requirement to redact personal information. Granting only the security team permission to invoke the unmask API operation ensures that unredacted content is restricted. Option B (KMS) encrypts at rest but does not redact fields; encryption alone does not prevent plaintext visibility to authorized readers. Options A and D add complexity and latency, move data out of CloudWatch, and do not provide default inline redaction/unmask controls in CloudWatch itself. Therefore, the CloudOps-aligned, managed solution is to use CloudWatch Logs data protection with appropriate data identifiers and unmask permissions limited to the security team.
NEW QUESTION # 196
A company has users that deploy Amazon EC2 instances that have more volume performance capacity than is required. A CloudOps engineer needs to review all Amazon Elastic Block Store (Amazon EBS) volumes that are associated with the instances and create cost optimization recommendations based on IOPS and throughput.
What should the CloudOps engineer do to meet these requirements in the MOST operationally efficient way?
Answer: C
Explanation:
The requirement is to produce cost optimization recommendations for EBS volumes based on IOPS and throughput, and to do so with the most operational efficiency across potentially many instances and volumes.
AWS Compute Optimizer is the most suitable service because it analyzes historical utilization metrics and configuration characteristics to generate rightsizing recommendations. When enabled, Compute Optimizer evaluates EBS volume performance patterns (including throughput and IOPS consumption) and can recommend more appropriate volume types or settings to reduce cost while meeting performance needs.
Option C is operationally efficient because it centralizes analysis. Instead of manually inspecting per-volume graphs, Compute Optimizer aggregates and evaluates data over time, reducing human effort and improving consistency. After sufficient observation time, the CloudOps engineer can review the findings and translate them into concrete actions such as reducing provisioned IOPS on io1/io2, selecting gp3 with tuned IOPS
/throughput, or resizing volumes that are over-provisioned relative to actual demand.
Option A is manual and does not directly address IOPS/throughput rightsizing; it also incorrectly focuses on consumed space versus provisioned space, which is more relevant to capacity than performance provisioning.
Option B is unrelated: EBS-optimized is an EC2 feature for dedicated EBS bandwidth and does not rightsize EBS volume performance or reduce over-provisioned IOPS/throughput. Option D introduces significant operational overhead by installing benchmarking tools and running synthetic tests, which is not scalable, can affect production performance, and still may not reflect real workload patterns.
Therefore, enabling AWS Compute Optimizer and using its EBS volume recommendations is the most operationally efficient approach.
NEW QUESTION # 197
A CloudOps engineer is creating a simple, public-facing website running on Amazon EC2. The CloudOps engineer created the EC2 instance in an existing public subnet and assigned an Elastic IP address. The CloudOps engineer created a new security group that allows incoming HTTP traffic from 0.0.0.0/0. The CloudOps engineer also created a new network ACL and applied it to the subnet to allow incoming HTTP traffic from 0.0.0.0/0. However, the website cannot be reached from the internet.
What is the cause of this issue?
Answer: C
Explanation:
Network ACLs are stateless, meaning both inbound and outbound rules must explicitly allow traffic. While inbound HTTP traffic (port 80) was allowed, the return traffic from the EC2 instance uses ephemeral ports (typically 1024-65535). If outbound rules do not allow this ephemeral port range, the response traffic is dropped, preventing the website from loading.
Security groups are stateful and automatically allow return traffic, but network ACLs do not. This commonly causes connectivity issues when custom ACLs are applied without matching outbound rules.
Option B is incorrect because security groups allow all outbound traffic by default. Option C is irrelevant.
Option D is incorrect because only one network ACL can be associated with a subnet at a time.
Thus, the missing outbound ephemeral port rule in the network ACL is the root cause.
NEW QUESTION # 198
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