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A CloudOps engineer has created an AWS Service Catalog portfolio and shared it with a second AWS account in the company, managed by a different CloudOps engineer.
Which action can the CloudOps engineer in the second account perform?
Per the AWS Cloud Operations and Service Catalog documentation, when a portfolio is shared across AWS accounts, the recipient account imports the shared portfolio.
The recipient CloudOps engineer cannot modify the original products or their configurations but can:
Add products from the imported portfolio into their local portfolios for deployment,
Control end-user access in the recipient account, and
Manage local constraints or permissions.
However, the recipient cannot edit, delete, or reconfigure the shared products (Options B, C, and D). The source (owner) account retains full administrative control over products, launch roles, and lifecycle policies.
This model aligns with AWS CloudOps principles of centralized governance with distributed self-service deployment across multiple accounts.
Thus, Option A is correct---imported portfolios allow the recipient to add products to a local portfolio but not alter the shared configuration.
A multinational company uses an organization in AWS Organizations to manage over 200 member accounts across multiple AWS Regions. The company must ensure that all AWS resources meet specific security requirements.
The company must not deploy any EC2 instances in the ap-southeast-2 Region. The company must completely block root user actions in all member accounts. The company must prevent any user from deleting AWS CloudTrail logs, including administrators. The company requires a centrally managed solution that the company can automatically apply to all existing and future accounts. Which solution will meet these requirements?
AWS CloudOps governance best practices emphasize centralized account management and preventive guardrails. AWS Control Tower integrates directly with AWS Organizations and provides ''Region deny controls'' and ''Service Control Policies (SCPs)'' that apply automatically to all existing and newly created member accounts. SCPs are organization-wide guardrails that define the maximum permissions for accounts. They can explicitly deny actions such as launching EC2 instances in a specific Region, or block root user access.
To prevent CloudTrail log deletion, SCPs can also include denies on cloudtrail:DeleteTrail and s3:DeleteObject actions targeting the CloudTrail log S3 bucket. These SCPs ensure that no user, including administrators, can violate the compliance requirements.
AWS documentation under the Security and Compliance domain for CloudOps states:
''Use AWS Control Tower to establish a secure, compliant, multi-account environment with preventive guardrails through service control policies and detective controls through AWS Config.''
This approach meets all stated needs: centralized enforcement, automatic propagation to new accounts, region-based restrictions, and immutable audit logs. Options A, B, and D either detect violations reactively or lack complete enforcement and automation across future accounts.
A web application runs on Amazon EC2 instances in an Auto Scaling group behind an Application Load Balancer (ALB). During rolling updates, application initialization and cold starts cause 30-second latency spikes. A CloudOps engineer needs to keep latency flat by pre-initializing capacity. The CloudOps engineer must reuse instances across waves without extending the maintenance window.
Which solution will meet these requirements?
An Auto Scaling warm pool keeps pre-initialized instances ready before they are placed into service. This is exactly what the scenario needs because cold starts during rolling updates are causing latency spikes. By using stopped instances that have already completed initialization, replacement capacity can join the Auto Scaling group faster and with less runtime warmup impact. Instance reuse also allows instances to return to the warm pool after scale-in or refresh waves, reducing repeated initialization overhead. Target tracking with instance warmup prevents scaling decisions from being distorted while new instances stabilize. Options B, C, and D do not directly pre-initialize application capacity. Predictive scaling forecasts demand, but it does not solve cold-start latency during controlled deployment waves. Warm pools are the purpose-built CloudOps feature for this requirement.
A company has two AWS accounts connected by a transit gateway. Each account has one VPC in the same AWS Region. The company wants to simplify inbound and outbound rules in security groups by referencing security group IDs instead of IP CIDR blocks.
Which solution will meet this requirement?
AWS Transit Gateway supports security group referencing across VPCs, but this feature must be explicitly enabled on each transit gateway attachment. Once enabled, security groups in one VPC can reference security groups in another VPC attached to the same transit gateway, simplifying rule management and improving security posture.
Enabling the feature on the transit gateway itself is not sufficient; it must be enabled per attachment to allow traffic evaluation based on security group IDs. This approach avoids brittle CIDR-based rules and allows dynamic scaling without rule updates.
Option A removes the transit gateway, which contradicts the existing architecture. Option B is incomplete. Option D does not address security group referencing.
Thus, enabling security group referencing on each transit gateway attachment is the correct solution.
A company's reporting job that previously ran in 15 minutes is now taking 1 hour. The application runs on Amazon EC2 and extracts data from an Amazon RDS for MySQL DB instance.
CloudWatch metrics show high Read IOPS even when reports are not running. The CloudOps engineer must improve performance and availability.
Which solution will meet these requirements?
RDS read replicas offload read traffic from the primary database, improving performance and availability. By directing reporting queries to the reader endpoint, the primary instance is freed from heavy read workloads.
ElastiCache is unsuitable for complex SQL reporting. CloudFront cannot front a database. Increasing instance size does not address inefficient read scaling.
Thus, read replicas are the correct solution.
