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| Section | Weight | Objectives |
|---|---|---|
| Design High-Performing Architectures | 24% | - Design high-performance network architectures
|
| Design Resilient Architectures | 26% | - Design solutions for disaster recovery
|
| Design Secure Architectures | 30% | - Design solutions for secure access
|
| Design Cost-Optimized Architectures | 20% | - Design cost-effective compute solutions
|
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NEW QUESTION # 428
An organization has a statutory requirement to protect the data at rest for the S3 objects. Which of the below mentioned options need not be enabled by the organization to achieve data security?
Answer: D
Explanation:
AWS S3 provides multiple options to achieve the protection of data at REST. The options include Permission (Policy), Encryption (Client and Server Side), Bucket Versioning and MFA based delete. The user can enable any of these options to achieve data protection. Data replication is an internal facility by AWS where S3 replicates each object across all the Availability Zones and the organization need not enable it in this case.
Reference: http://media.amazonwebservices.com/AWS_Security_Best_Practices.pdf
NEW QUESTION # 429
A company plans to migrate toAWS and use Amazon EC2 On-Demand Instances for its application. During the migration testing phase, a technical team observes that the application takes a long time to launch and load memory to become fully productive.
Which solution will reduce the launch time of the application during the next testing phase?
Answer: C
Explanation:
The solution that will reduce the launch time of the application during the next testing phase is to launch the EC2 On-Demand Instances with hibernation turned on and configure EC2 Auto Scaling warm pools. This solution allows the application to resume from a hibernated state instead of starting from scratch, which can save time and resources. Hibernation preserves the memory (RAM) state of the EC2 instances to the root EBS volume and then stops the instances.When the instances are resumed, they restore theirmemory state from the EBS volume and become productive quickly. EC2 Auto Scaling warm pools can be used to maintain a pool of pre-initialized instances that are ready to scale out when needed. Warm pools can also support hibernated instances, which can further reduce the launch time and cost of scaling out.
The other solutions are not as effective as the first one because they either do not reduce the launch time, do not guarantee availability, or do not use On-Demand Instances as required. Launching two or more EC2 On- Demand Instances with auto scaling features does not reduce the launch time of the application, as each instance still has to go through the initialization process. Launching EC2 Spot Instances does not guarantee availability, as Spot Instances can be interrupted by AWS at any time when there is a higher demand for capacity. Launching EC2 On-Demand Instances with Capacity Reservations does not reduce the launch time of the application, as it only ensures that there is enough capacity available for the instances, but does not pre- initialize them.
References:
Hibernating your instance - Amazon Elastic Compute Cloud
Warm pools for Amazon EC2 Auto Scaling - Amazon EC2 Auto Scaling
NEW QUESTION # 430
Is it possible to access your EBS snapshots?
Answer: D
NEW QUESTION # 431
You are looking to migrate your Development (Dev) and Test environments to AWS. You have decided to use separate AWS accounts to host each environment. You plan to link each accounts bill to a Master AWS account using Consolidated Billing. To make sure you Keep within budget you would like to implement a way for administrators in the Master account to have access to stop, delete and/or terminate resources in both the Dev and Test accounts. Identify which option will allow you to achieve this goal.
Answer: B
Explanation:
Bucket Owner Granting Cross-account Permission to objects It Does Not Own In this example scenario, you own a bucket and you have enabled other AWS accounts to upload objects.
That is, your bucket can have objects that other AWS accounts own.
Now, suppose as a bucket owner, you need to grant cross-account permission on objects, regardless of who the owner is, to a user in another account. For example, that user could be a billing application that needs to access object metadata. There are two core issues:
The bucket owner has no permissions on those objects created by other AWS accounts. So for the bucket owner to grant permissions on objects it does not own, the object owner, the AWS account that created the objects, must first grant permission to the bucket owner. The bucket owner can then delegate those permissions.
Bucket owner account can delegate permissions to users in its own account but it cannot delegate permissions to other AWS accounts, because cross-account delegation is not supported.
In this scenario, the bucket owner can create an AWS Identity and Access Management (lAM) role with permission to access objects, and grant another AWS account permission to assume the role temporarily enabling it to access objects in the bucket.
Background: Cross-Account Permissions and Using lAM Roles
lAM roles enable several scenarios to delegate access to your resources, and cross-account access is one of the key scenarios. In this example, the bucket owner, Account A, uses an lAM role to temporarily delegate object access cross-account to users in another AWS account, Account C.
Each lAM role you create has two policies attached to it:
A trust policy identifying another AWS account that can assume the role.
An access policy defining what permissions-for example, s3:Get0bject-are allowed when someone assumes the role. For a list of permissions you can specify in a policy, see Specifying Permissions in a Policy.
The AWS account identified in the trust policy then grants its user permission to assume the role. The user can then do the following to access objects:
Assume the role and, in response, get temporary security credentials.
Using the temporary security credentials, access the objects in the bucket.
For more information about lAM roles, go to Roles (Delegation and Federation) in lAM User Guide.
The following is a summary of the walkthrough steps:
Account A administrator user attaches a bucket policy granting Account B conditional permission to upload objects.
Account A administrator creates an lAM role, establishing trust with Account C, so users in t hat account can access Account A.
The access policy attached to the role limits what user in Account C can do when the user accesses Account A.
Account B administrator uploads an object to the bucket owned by Account A, granting full-control permission to the bucket owner.
Account C administrator creates a user and attaches a user policy that al lows the user to assume the role.
User in Account C first assumes the role, which returns the user temporary security credentials.
Using those temporary credentials, the user then accesses objects in the bucket.
For this example, you need three accounts. The following tab le shows how we refer to these accounts and the administrator users in these accounts. Per lAM guidelines (see About Using an Administrator User to Create Resources and Grant Permissions) we do not use the account root credentials in this walkthrough. Instead, you create an administrator user in each account and use those credentials in creating resources and granting them permissions
NEW QUESTION # 432
A customer owns a MySQL database that is accessed by various clients who expect, at most,
100 ms latency on requests. Once a record is stored in the database, it rarely changed. Clients only access one record at a time.
Database access has been increasing exponentially due to increased client demand. The resultant load will soon exceed the capacity of the most expensive hardware available for purchase. The customer wants to migrate to AWS, and is willing to change database systems.
Which service would alleviate the database load issue and offer virtually unlimited scalability for the future?
Answer: D
NEW QUESTION # 433
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