Free 312-40 Exam Braindumps (page: 5)

Page 5 of 33

A web server passes the reservation information to an application server and then the application server queries an Airline service.
Which of the following AWS service allows secure hosted queue server-side encryption (SSE), or uses custom SSE keys managed in AWS

Key Management Service (AWS KMS)?

  1. Amazon Simple Workflow
  2. Amazon SQS
  3. Amazon SNS
  4. Amazon CloudSearch

Answer(s): B

Explanation:

Amazon Simple Queue Service (Amazon SQS) supports server-side encryption (SSE) to protect the contents of messages in queues using SQS-managed encryption keys or keys managed in the AWS Key Management Service (AWS KMS).

1. Enable SSE on Amazon SQS: When you create a new queue or update an existing queue, you can enable SSE by selecting the option for server-side encryption.

2. Choose Encryption Keys: You can choose to use the default SQS-managed keys (SSE-SQS) or select a custom customer-managed key in AWS KMS (SSE-KMS).

3. Secure Data Transmission: With SSE enabled, messages are encrypted as soon as Amazon SQS receives them and are stored in encrypted form.

4. Decryption for Authorized Consumers: Amazon SQS decrypts messages only when they are sent to an authorized consumer, ensuring the security of the message contents during transit.


Reference:

Amazon SQS provides server-side encryption to protect sensitive data in queues, using either SQS- managed encryption keys or customer-managed keys in AWS KMS1. This feature helps in meeting strict encryption compliance and regulatory requirements, making it suitable for scenarios where secure message transmission is critical12.



A security incident has occurred within an organization's AWS environment. A cloud forensic investigation procedure is initiated for the acquisition of forensic evidence from the compromised EC2 instances. However, it is essential to abide by the data privacy laws while provisioning any forensic instance and sending it for analysis.
What can the organization do initially to avoid the legal implications of moving data between two AWS regions for analysis?

  1. Create evidence volume from the snapshot
  2. Provision and launch a forensic workstation
  3. Mount the evidence volume on the forensic workstation
  4. Attach the evidence volume to the forensic workstation

Answer(s): A

Explanation:

When dealing with a security incident in an AWS environment, it's crucial to handle forensic evidence in a way that complies with data privacy laws. The initial step to avoid legal implications when moving data between AWS regions for analysis is to create an evidence volume from the snapshot of the compromised EC2 instances.

1. Snapshot Creation: Take a snapshot of the compromised EC2 instance's EBS volume. This snapshot captures the state of the volume at a point in time and serves as forensic evidence.

2. Evidence Volume Creation: Create a new EBS volume from the snapshot within the same AWS region to avoid cross-regional data transfer issues.

3. Forensic Workstation Provisioning: Provision a forensic workstation within the same region where the evidence volume is located.

4. Evidence Volume Attachment: Attach the newly created evidence volume to the forensic workstation for analysis.


Reference:

Creating an evidence volume from a snapshot is a recommended practice in AWS forensics. It ensures that the integrity of the data is maintained and that the evidence is handled in compliance with legal requirements12. This approach allows for the preservation, acquisition, and analysis of data without violating data privacy laws that may apply when transferring data across regions12.



The cloud administrator John was assigned a task to create a different subscription for each division of his organization. He has to ensure all the subscriptions are linked to a single

Azure AD tenant and each subscription has identical role assignments.
Which Azure service will he make use of?

  1. Azure AD Privileged Identity Management
  2. Azure AD Multi-Factor Authentication
  3. Azure AD Identity Protection
  4. Azure AD Self-Service Password Reset

Answer(s): A

Explanation:

To manage multiple subscriptions under a single Azure AD tenant with identical role assignments, Azure AD Privileged Identity Management (PIM) is the service that provides the necessary capabilities.

1. Link Subscriptions to Azure AD Tenant: John can link all the different subscriptions to the single Azure AD tenant to centralize identity management across the organization1.

2. Manage Role Assignments: With Azure AD PIM, John can manage, control, and monitor access within Azure AD, Azure, and other Microsoft Online Services like Office 365 or Microsoft 3652.

3. Identical Role Assignments: Azure AD PIM allows John to configure role assignments that are consistent across all subscriptions. He can assign roles to users, groups, service principals, or managed identities at a particular scope3.

4. Role Activation and Review: John can require approval to activate privileged roles, enforce just-in-time privileged access, require reason for activating any role, and review access rights2.


Reference:

Azure AD PIM is a feature of Azure AD that helps organizations manage, control, and monitor access within their Azure environment. It is particularly useful for scenarios where there are multiple subscriptions and a need to maintain consistent role assignments across them23.



An organization is developing a new AWS multitier web application with complex queries and table joins.

However, because the organization is small with limited staff, it requires high availability.
Which of the following Amazon services is suitable for the requirements of the organization?

  1. Amazon HSM
  2. Amazon Snowball
  3. Amazon Glacier
  4. Amazon DynamoDB

Answer(s): D

Explanation:

For a multitier web application that requires complex queries and table joins, along with the need for high availability, Amazon DynamoDB is the suitable service. Here's why:

1. Support for Complex Queries: DynamoDB supports complex queries and table joins through its flexible data model and secondary indexes.

2. High Availability: DynamoDB is designed for high availability and durability, with data replicated across multiple AWS Availability Zones1.

3. Managed Service: As a fully managed service, DynamoDB requires minimal operational overhead, which is ideal for organizations with limited staff.

4. Scalability: It can handle large amounts of traffic and data, scaling up or down as needed to meet the demands of the application.


Reference:

Amazon DynamoDB is a NoSQL database service that provides fast and predictable performance with seamless scalability. It is suitable for applications that require consistent, single-digit millisecond latency at any scale1. It's a fully managed, multi-region, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications1.



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