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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configuration Management and Infrastructure as Code | 17% | - Infrastructure provisioning and automation
|
| Topic 2: Monitoring and Logging | 15% | - Observability and metrics
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| Topic 3: SDLC Automation | 22% | - CI/CD pipeline design and implementation
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| Topic 4: Resilient Cloud Solutions | 15% | - High availability and fault tolerance design
|
| Topic 5: Security and Compliance Automation | 13% | - Security automation in CI/CD and infrastructure
|
| Topic 6: Incident and Event Management | 18% | - Operational response and recovery
|
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NEW QUESTION # 292
A company has a workflow that generates a file for each of the company's products and stores the files in a production environment Amazon S3 bucket. The company's users can access the S3 bucket.
Each file contains a product ID. Product IDs for products that have not been publicly announced are prefixed with a specific UUID. Product IDs are 12 characters long. IDs for products that have not been publicly announced begin with the letter P.
The company does not want information about products that have not been publicly announced to be available in the production environment S3 bucket.
Which solution will meet these requirements?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The requirement is to prevent any product files containing unannounced product IDs (prefixed with a specific UUID) from being stored in the production S3 bucket that users can access.
To achieve this, a best practice is to use a staging bucket as a control point before files go to production, combined with Amazon Macie's data classification capabilities.
Creating a custom data identifier in Amazon Macie allows precise detection of product IDs starting with the specific UUID, which default managed identifiers will not detect.
By running a Macie sensitive data discovery job on the staging bucket, you can identify files containing these sensitive product IDs.
Only files without findings (i.e., files that do not contain unannounced product IDs) are copied to the production bucket, ensuring no sensitive information is exposed.
This approach aligns with AWS best practices for data classification and staged deployment workflows, maximizing control and reducing risk.
Using Macie on the production bucket directly (options B and D) risks exposing sensitive data before detection and deletion. Option C uses managed data identifiers, which will likely not detect the custom UUID prefix pattern.
Reference from AWS Official Documentation and Study Guide:
Amazon Macie Custom Data Identifiers:
"You can create custom data identifiers in Amazon Macie to find sensitive data that is unique to your organization." (Amazon Macie User Guide) Data Security Best Practices:
"Use staging environments to inspect and sanitize data before moving it to production to reduce exposure risks." (AWS Security Best Practices)
NEW QUESTION # 293
A company is developing an application that will generate log events. The log events consist of five distinct metrics every one tenth of a second and produce a large amount of data The company needs to configure the application to write the logs to Amazon Time stream The company will configure a daily query against the Timestream table.
Which combination of steps will meet these requirements with the FASTEST query performance? (Select THREE.)
Answer: A,D,E
Explanation:
Option A is correct because using batch writes to write multiple log events in a single write operation is a recommended practice for optimizing the performance and cost of data ingestion in Timestream. Batch writes can reduce the number of network round trips and API calls, and can also take advantage of parallel processing by Timestream. Batch writes can also improve the compression ratio of data in the memory store and the magnetic store, which can reduce the storage costs and improve the query performance1.
Option B is incorrect because writing each log event as a single write operation is not a recommended practice for optimizing the performance and cost of data ingestion in Timestream. Writing each log event as a single write operation would increase the number of network round trips and API calls, and would also reduce the compression ratio of data in the memory store and the magnetic store. This would increase the storage costs and degrade the query performance1.
Option C is incorrect because treating each log as a single-measure record is not a recommended practice for optimizing the query performance in Timestream. Treating each log as a single-measure record would result in creating multiple records for each timestamp, which would increase the storage size and the query latency.
Moreover, treating each log as a single-measure record would require using joins to query multiple measures for the same timestamp, which would add complexity and overhead to the query processing2.
Option D is correct because treating each log as a multi-measure record is a recommended practice for optimizing the query performance in Timestream. Treating each log as a multi-measure record would result in creating a single record for each timestamp, which would reduce the storage size and the query latency.
Moreover, treating each log as a multi-measure record would allow querying multiple measures for the same timestamp without using joins, which would simplify and speed up the query processing2.
Option E is incorrect because configuring the memory store retention period to be longer than the magnetic store retention period is not a valid option in Timestream. The memory store retention period must always be shorter than or equal to the magnetic store retention period. This ensures that data is moved from the memory store to the magnetic store before it expires out of the memory store3.
Option F is correct because configuring the memory store retention period to be shorter than the magnetic store retention period is a valid option in Timestream. The memory store retention period determines how long data is kept in the memory store, which is optimized for fast point-in-time queries. The magnetic store retention period determines how long data is kept in the magnetic store, which is optimized for fast analytical queries. By configuring these retention periods appropriately, you can balance your storage costs and query performance according to your application needs3.
References:
1: Batch writes
2: Multi-measure records vs. single-measure records
3: Storage
NEW QUESTION # 294
A company is launching an application. The application must use only approved AWS services. The account that runs the application was created less than 1 year ago and is assigned to an AWS Organizations OU.
The company needs to create a new Organizations account structure. The account structure must have an appropriate SCP that supports the use of only services that are currently active in the AWS account.
The company will use AWS Identity and Access Management (IAM) Access Analyzer in the solution.
Which solution will meet these requirements?
Answer: D
Explanation:
To meet the requirements of creating a new Organizations account structure with an appropriate SCP that supports the use of only services that are currently active in the AWS account, the company should use the following solution:
* Create an SCP that allows the services that IAM Access Analyzer identifies. IAM Access Analyzer is a service that helps identify potential resource-access risks by analyzing resource-based policies in the AWS environment. IAM Access Analyzer can also generate IAM policies based on access activity in the AWS CloudTrail logs. By using IAM Access Analyzer, the company can create an SCP that grants only the permissions that are required for the application to run, and denies all other services. This way, the company can enforce the use of only approved AWS services and reduce the risk of unauthorized access12
* Create an OU for the account. Move the account into the new OU. An OU is a container for accounts within an organization that enables you to group accounts that have similar business or security requirements. By creating an OU for the account, the company can apply policies and manage settings for the account as a group. The company should move the account into the new OU to make it subject to the policies attached to the OU3
* Attach the new SCP to the new OU. Detach the default FullAWSAccess SCP from the new OU. An SCP is a type of policy that specifies the maximum permissions for an organization or organizational unit (OU). By attaching the new SCP to the new OU, the company can restrict the services that are available to all accounts in that OU, including the account that runs the application. The company should also detach the default FullAWSAccess SCP from the new OU, because this policy allows all actions on all AWS services and might override or conflict with the new SCP45 The other options are not correct because they do not meet the requirements or follow best practices. Creating an SCP that denies the services that IAM Access Analyzer identifies is not a good option because it might not cover all possible services that are not approved or required for the application. A deny policy is also more difficult to maintain and update than an allow policy. Creating an SCP that allows the services that IAM Access Analyzer identifies and attaching it to the organization's root is not a good option because it might affect other accounts and OUs in the organization that have different service requirements or approvals.
Creating an SCP that allows the services that IAM Access Analyzer identifies and attaching it to the management account is not a valid option because SCPs cannot be attached directly to accounts, only to OUs or roots.
References:
* 1: Using AWS Identity and Access Management Access Analyzer - AWS Identity and Access Management
* 2: Generate a policy based on access activity - AWS Identity and Access Management
* 3: Organizing your accounts into OUs - AWS Organizations
* 4: Service control policies - AWS Organizations
* 5: How SCPs work - AWS Organizations
NEW QUESTION # 295
A company uses AWS Organizations to manage its AWS accounts. A DevOps engineer must ensure that all users who access the AWS Management Console are authenticated through the company's corporate identity provider (IdP).
Which combination of steps will meet these requirements? (Select TWO.)
Answer: C,D
Explanation:
Step 1: Using AWS IAM Identity Center for SAML-based Identity Federation To ensure that all users accessing the AWS Management Console are authenticated via the corporate identity provider (IdP), the best approach is to set up identity federation with AWS IAM Identity Center (formerly AWS SSO) using SAML 2.0.
Action: Use AWS IAM Identity Center to configure identity federation with the corporate IdP that supports SAML 2.0.
Why: SAML 2.0 integration enables single sign-on (SSO) for users, allowing them to authenticate through the corporate IdP and gain access to AWS resources.
Reference: AWS documentation on IAM Identity Center and SAML Federation.
This corresponds to Option B: Use AWS IAM Identity Center to configure identity federation with SAML 2.0.
Step 2: Creating an SCP to Deny Password Logins for IAM UsersTo enforce that IAM users do not create passwords or access the Management Console directly without going through the corporate IdP, you can create a Service Control Policy (SCP) in AWS Organizations that denies password creation for IAM users.
Action: Create an SCP that denies password creation for IAM users.
Why: This ensures that users cannot set passwords for their IAM user accounts, forcing them to use federated access through the corporate IdP for console login.
Reference: AWS documentation on Service Control Policies.
This corresponds to Option E: Create an SCP in Organizations to deny password creation for IAM users.
NEW QUESTION # 296
A company wants to deploy a workload on several hundred Amazon EC2 instances. The company will provision the EC2 instances in an Auto Scaling group by using a launch template.
The workload will pull files from an Amazon S3 bucket, process the data, and put the results into a different S3 bucket. The EC2 instances must have least-privilege permissions and must use temporary security credentials.
Which combination of steps will meet these requirements? (Select TWO.)
Answer: A,D
Explanation:
To meet the requirements of deploying a workload on several hundred EC2 instances with least-privilege permissions and temporary security credentials, the company should use an IAM role and an instance profile. An IAM role is a way to grant permissions to an entity that you trust, such as an EC2 instance. An instance profile is a container for an IAM role that you can use to pass role information to an EC2 instance when the instance starts. By using an IAM role and an instance profile, the EC2 instances can automatically receive temporary security credentials from the AWS Security Token Service (STS) and use them to access the S3 buckets. This way, the company does not need to manage or rotate any long-term credentials, such as IAM users or access keys.
To use an IAM role and an instance profile, the company should create an IAM role that has the appropriate permissions for S3 buckets. The permissions should allow the EC2 instances to read from the source S3 bucket and write to the destination S3 bucket. The company should also create a trust policy for the IAM role that specifies that EC2 is allowed to assume the role. Then, the company should add the IAM role to an instance profile. An instance profile can have only one IAM role, so the company does not need to create multiple roles or profiles for this scenario.
Next, the company should update the launch template to include the IAM instance profile. A launch template is a way to save launch parameters for EC2 instances, such as the instance type, security group, user data, and IAM instance profile. By using a launch template, the company can ensure that all EC2 instances in the Auto Scaling group have consistent configuration and permissions. The company should specify the name or ARN of the IAM instance profile in the launch template. This way, when the Auto Scaling group launches new EC2 instances based on the launch template, they will automatically receive the IAM role and its permissions through the instance profile.
The other options are not correct because they do not meet the requirements or follow best practices. Creating an IAM user and generating a secret key and token is not a good option because it involves managing long-term credentials that need to be rotated regularly. Moreover, embedding credentials in user data is not secure because user data is visible to anyone who can describe the EC2 instance. Creating a trust anchor and profile is not a valid option because trust anchors are used for certificate-based authentication, not for IAM roles or instance profiles. Modifying user data to use a new secret key and token is also not a good option because it requires updating user data every time the credentials change, which is not scalable or efficient.
References:
1: AWS Certified DevOps Engineer - Professional Certification | AWS Certification | AWS
2: DevOps Resources - Amazon Web Services (AWS)
3: Exam Readiness: AWS Certified DevOps Engineer - Professional
4: IAM Roles for Amazon EC2 - AWS Identity and Access Management
5: Working with Instance Profiles - AWS Identity and Access Management
6: Launching an Instance Using a Launch Template - Amazon Elastic Compute Cloud
7: Temporary Security Credentials - AWS Identity and Access Management
NEW QUESTION # 297
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