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NEW QUESTION # 68
A company uses Amazon EC2 Auto Scaling across multiple Availability Zones. The company must ensure that EC2 instances are provisioned in private subnets.
The company recently optimized its cloud infrastructure by reducing the number of NAT gateways in the company's VPC to one. Some EC2 instances lost internet connectivity after the infrastructure update. A CloudOps engineer must resolve the connectivity issue.
Which solution will meet this requirement?
Answer: C
Explanation:
EC2 instances in private subnets cannot send traffic directly to the internet gateway because private subnets do not have a direct 0.0.0.0/0 route to the internet gateway. Instead, outbound IPv4 internet access from private subnets is typically provided by a NAT gateway that is deployed in a public subnet. Private subnet route tables then send default internet-bound traffic (0.0.0.0/0) to the NAT gateway as the target. The NAT gateway uses its Elastic IP address and the public subnet's route to the internet gateway to enable outbound connectivity while still preventing inbound internet-initiated connections to the private instances.
When the company reduced multiple NAT gateways to a single NAT gateway, the routing design likely became inconsistent across Availability Zones. In multi-AZ architectures, it is common to have one NAT gateway per AZ and have each private subnet route to the NAT gateway in the same AZ to maintain zonal resiliency and avoid cross-AZ dependencies. If NAT gateways were removed, some private subnets may still have route table entries that point to NAT gateways that no longer exist. Those subnets would immediately lose outbound internet connectivity. The fix is to update the route tables associated with the affected private subnets so that their 0.0.0.0/0 route targets the remaining NAT gateway.
Option C would violate the requirement that instances must be in private subnets; routing private subnet traffic directly to an internet gateway effectively makes the subnet public. Option A is unnecessary and adds operational burden; NAT instances require patching, scaling, and availability management. Option D does not address the routing target problem and is not how NAT gateway egress is restored for multiple subnets.
Therefore, correcting the private subnet route tables to send internet-bound traffic to the existing NAT gateway is the appropriate solution.
NEW QUESTION # 69
A company runs a business application on more than 300 Linux-based instances. Each instance has the AWS Systems Manager Agent (SSM Agent) installed. The company expects the number of instances to grow in the future. All business application instances have the same user-defined tag.
A CloudOps engineer wants to run a command on all the business application instances to download and install a package from a private repository. To avoid overwhelming the repository, the CloudOps engineer wants to ensure that no more than 30 downloads occur at one time.
Which solution will meet this requirement in the MOST operationally efficient way?
Answer: B
Explanation:
Comprehensive Explanation (250-350 words):
AWS Systems Manager Run Command includes a built-in rate control feature that allows administrators to control the maximum number of concurrent executions across target instances. This directly addresses the requirement to limit downloads to 30 at a time without custom orchestration or additional services.
By targeting instances using tags, the solution automatically scales as new instances are added, which aligns with future growth expectations. Rate control ensures controlled concurrency and protects the private repository from overload.
Option A is manual and does not scale operationally. Option B introduces unnecessary complexity with Lambda and concurrency management that does not map cleanly to instance execution concurrency. Option D significantly increases architectural complexity without added value.
Run Command with rate control is the simplest, most native, and most scalable solution.
NEW QUESTION # 70
A company runs a workload on a high performance computing (HPC) cluster on AWS. The workload is Linux-based and uses three Amazon EC2 instances. Each EC2 instance has a 10 TiB Throughput Optimized HDD (st1) Amazon EBS volume. A CloudOps engineer determines that the current storage is not meeting the workload's performance needs. The workload needs a durable file store that has throughput of 100,000 IOPS.
Which solution will meet these requirements?
Answer: B
Explanation:
Amazon FSx for Lustre is designed for high-performance computing workloads that need a shared, durable, high-throughput file system. It supports Linux clients and is purpose-built for workloads such as machine learning, analytics, media processing, and HPC. The current use of separate st1 EBS volumes is not meeting performance needs and also does not provide a shared high-performance file system across the cluster.
ElastiCache is an in-memory cache, not a durable POSIX-style HPC file store. Amazon S3 is durable object storage, but it is not a high-performance shared file system for Linux HPC applications that expect file-system semantics. S3 Transfer Acceleration improves long-distance data transfer to S3 but does not solve local HPC file I/O. Therefore, FSx for Lustre is the correct performance optimization choice.
NEW QUESTION # 71
A company's application is hosted by an internet provider at app.example.com. The company wants to access the application by using www.company.com, which the company owns and manages with Amazon Route 53.
Which Route 53 record should be created to address this requirement?
Answer: D
Explanation:
When mapping one domain name to another domain name that is hosted outside AWS, a CNAME record is the correct DNS record type. CNAME records map an alias name (www.company.com) to a canonical domain name (app.example.com).
Alias records cannot be used to point to non-AWS resources. A and PTR records map IP addresses, not domain names, and are therefore not appropriate.
Because www.company.com is not the zone apex, a CNAME record is valid and supported. This solution requires no additional infrastructure and is the standard DNS approach for this scenario.
NEW QUESTION # 72
A company runs a worker process on three Amazon EC2 instances. The instances are in an Auto Scaling group that is configured to use a simple scaling policy. The instances process messages from an Amazon SQS queue. Random periods of increased messages are causing a decrease in the performance of the worker process. A CloudOps engineer must scale the instances to accommodate the increased number of messages.
Which solution will meet these requirements?
Answer: D
Explanation:
For SQS-backed worker fleets, the most useful scaling signal is backlog per instance, calculated as the approximate number of visible messages divided by the number of running instances. This metric shows whether each worker instance has too much work to process and is therefore a strong target tracking metric.
Target tracking scaling is better than simple scaling for this pattern because it continuously adjusts capacity to keep the selected metric near the desired value. Option A uses the age of the oldest message, which can indicate delay but does not directly express workload per instance. Options C and D are wrong because an ALB request metric applies to HTTP request routing, not SQS message processing. Scheduled scaling is also unsuitable because the spikes are random and unpredictable. Therefore, option B is the correct performance optimization solution.
NEW QUESTION # 73
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