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NEW QUESTION 33
A multinational manufacturing company has multiple accounts in AWS to separate their various departments such as finance, human resources, engineering and many others. There is a requirement to ensure that certain access to services and actions are properly controlled to comply with the security policy of the company.
As the Solutions Architect, which is the most suitable way to set up the multi-account AWS environment of the company?
- A. Provide access to externally authenticated users via Identity Federation. Set up an IAM role to specify permissions for users from each department whose identity is federated from your organization or a third-party identity provider.
- B. Use AWS Organizations and Service Control Policies to control services on each account.
- C. Connect all departments by setting up a cross-account access to each of the AWS accounts of the company. Create and attach IAM policies to your resources based on their respective departments to control access.
- D. Set up a common IAM policy that can be applied across all AWS accounts.
Using AWS Organizations and Service Control Policies to control services on each account is the correct answer. Refer to the diagram below:
AWS Organizations offers policy-based management for multiple AWS accounts. With Organizations, you can create groups of accounts, automate account creation, apply and manage policies for those groups. Organizations enables you to centrally manage policies across multiple accounts, without requiring custom scripts and manual processes. It allows you to create Service Control Policies (SCPs) that centrally control AWS service use across multiple AWS accounts.
Setting up a common IAM policy that can be applied across all AWS accounts is incorrect because it is not possible to create a common IAM policy for multiple AWS accounts.
The option that says: Connect all departments by setting up a cross-account access to each of the AWS accounts of the company. Create and attach IAM policies to your resources based on their respective departments to control access is incorrect because although you can set up cross-account access to each department, this entails a lot of configuration compared with using AWS Organizations and Service Control Policies (SCPs). Cross-account access would be a more suitable choice if you only have two accounts to manage, but not for multiple accounts.
The option that says: Provide access to externally authenticated users via Identity Federation. Set up an IAM role to specify permissions for users from each department whose identity is federated from your organization or a third-party identity provider is incorrect as this option is focused on the Identity Federation authentication set up for your AWS accounts but not the IAM policy management for multiple AWS accounts. A combination of AWS Organizations and Service Control Policies (SCPs) is a better choice compared to this option.
Check out this AWS Organizations Cheat Sheet: https://tutorialsdojo.com/aws-organizations/ Service Control Policies (SCP) vs IAM Policies: https://tutorialsdojo.com/service-control-policies-scp-vs-iam- policies/ Comparison of AWS Services Cheat Sheets:
NEW QUESTION 34
An IT consultant is working for a large financial company. The role of the consultant is to help the development team build a highly available web application using stateless web servers.
In this scenario, which AWS services are suitable for storing session state data? (Select TWO.)
- A. DynamoDB
- B. RDS
- C. Redshift Spectrum
- D. Glacier
- E. ElastiCache
DynamoDB and ElastiCache are the correct answers. You can store session state data on both DynamoDB and ElastiCache. These AWS services provide high-performance storage of key-value pairs which can be used to build a highly available web application.
Redshift Spectrum is incorrect since this is a data warehousing solution where you can directly query data from your data warehouse. Redshift is not suitable for storing session state, but more on analytics and OLAP processes.
RDS is incorrect as well since this is a relational database solution of AWS. This relational storage type might not be the best fit for session states, and it might not provide the performance you need compared to DynamoDB for the same cost.
S3 Glacier is incorrect since this is a low-cost cloud storage service for data archiving and long-term backup. The archival and retrieval speeds of Glacier is too slow for handling session states.
https://aws.amazon.com/caching/session-management/ Check out this Amazon Elasticache Cheat Sheet: https://tutorialsdojo.com/amazon-elasticache/
NEW QUESTION 35
A company is preparing to store confidential data in Amazon S3 For compliance reasons the data must be encrypted at rest Encryption key usage must be logged tor auditing purposes. Keys must be rotated every year.
Which solution meets these requirements and in the MOST operationally efferent?
- A. Server-side encryption with AWS KMS (SSE-KMS) customer master keys (CMKs) with automate rotation
- B. Server-side encryption with AWS KMS (SSE-KMS) customer master keys (CMKs) with manual rotation
- C. Server-side encryption with customer-provided keys (SSE-C)
- D. Server-side encryption with Amazon S3 managed keys (SSE-S3)
When you enable automatic key rotation for a customer managed key, AWS KMS generates new cryptographic material for the KMS key every year. AWS KMS also saves the KMS key's older cryptographic material in perpetuity so it can be used to decrypt data that the KMS key encrypted.
Key rotation in AWS KMS is a cryptographic best practice that is designed to be transparent and easy to use. AWS KMS supports optional automatic key rotation only for customer managed CMKs. Enable and disable key rotation. Automatic key rotation is disabled by default on customer managed CMKs. When you enable (or re-enable) key rotation, AWS KMS automatically rotates the CMK 365 days after the enable date and every 365 days thereafter.
NEW QUESTION 36
A solutions architect is designing the architecture of a new application being deployed to the AWS Cloud. The application will run on Amazon EC2 On-Demand Instances and will automatically scale across multiple Availability Zones. The EC2 instances will scale up and down frequently throughout the day. An Application Load Balancer (ALB) will handle the load distribution. The architecture needs to support distributed session data management. The company is willing to make changes to code if needed.
What should the solutions architect do to ensure that the architecture supports distributed session data management?
- A. Use Amazon ElastiCache to manage and store session data.
- B. Use session affinity (sticky sessions) of the ALB to manage session data.
- C. Use Session Manager from AWS Systems Manager to manage the session.
- D. Use the GetSessionToken API operation in AWS Security Token Service (AWS STS) to manage the session
In order to address scalability and to provide a shared data storage for sessions that can be accessible from any individual web server, you can abstract the HTTP sessions from the web servers themselves. A common solution to for this is to leverage an In-Memory Key/Value store such as Redis and Memcached. ElastiCache offerings for In-Memory key/value stores include ElastiCache for Redis, which can support replication, and ElastiCache for Memcached which does not support replication.
NEW QUESTION 37
A company needs the ability to analyze the log files of its proprietary application. The logs are stored in JSON format in an Amazon S3 bucket Queries will be simple and will run on-demand A solutions architect needs to perform the analysis with minimal changes to the existing architecture What should the solutions architect do to meet these requirements with the LEAST amount of operational overhead?
- A. Use Amazon Redshift to load all the content into one place and run the SQL queries as needed
- B. Use Amazon Athena directly with Amazon S3 to run the queries as needed
- C. Use Amazon CloudWatch Logs to store the logs Run SQL queries as needed from the Amazon CloudWatch console
- D. Use AWS Glue to catalog the logs Use a transient Apache Spark cluster on Amazon EMR to run the SQL queries as needed
Amazon Athena can be used to query JSON in S3
NEW QUESTION 38
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