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NEW QUESTION # 747
A company needs to identify the last time that a specific user accessed the AWS Management Console.
Which AWS service will provide this information?
Answer: D
Explanation:
Explanation
AWS CloudTrail is the service that will provide the information about the last time that a specific user accessed the AWS Management Console. AWS CloudTrail is a service that records the API calls and events made by or on behalf of your AWS account. You can use AWS CloudTrail to view, search, and download the history of AWS console sign-in events, which include the user name, date, time, source IP address, and other details of the sign-in activity. Amazon Cognito, Amazon Inspector, and Amazon GuardDuty are not services that will provide this information. Amazon Cognito is a service that provides user authentication and authorization for web and mobile applications. Amazon Inspector is a service that assesses the security and compliance of your applications running on AWS. Amazon GuardDuty is a service that monitors your AWS account and workloads for malicious or unauthorized activity.
NEW QUESTION # 748
A developer has been hired by a large company and needs AWS credentials.
Which are security best practices that should be followed? (Select TWO.)
Answer: B,D
Explanation:
The security best practices that should be followed are A and E.
A) Grant the developer access to only the AWS resources needed to perform the job. This is an example of the principle of least privilege, which means giving the minimum permissions necessary to achieve a task. This reduces the risk of unauthorized access, data leakage, or accidental damage to AWS resources. You can use AWS Identity and Access Management (IAM) to create users, groups, roles, and policies that grant fine-grained access to AWS resources12.
E) Ensure the account password policy requires a minimum length. This is a basic security measure that helps prevent brute-force attacks or guessing of passwords. A longer password is harder to crack than a shorter one. You can use IAM to configure a password policy that enforces a minimum password length, as well as other requirements such as complexity, expiration, and history34.
B) Share the AWS account root user credentials with the developer. This is a bad practice that should be avoided. The root user has full access to all AWS resources and services, and can perform sensitive actions such as changing billing information, closing the account, or deleting all resources. Sharing the root user credentials exposes your account to potential compromise or misuse. You should never share your root user credentials with anyone, and use them only for account administration tasks5 .
C) Add the developer to the administrator's group in IAM. This is also a bad practice that should be avoided. The administrator's group has full access to all AWS resources and services, which is more than what a developer needs to perform their job. Adding the developer to the administrator's group violates the principle of least privilege and increases the risk of unauthorized access, data leakage, or accidental damage to AWS resources. You should create a custom group for the developer that grants only the necessary permissions for their role12.
D) Configure a password policy that ensures the developer's password cannot be changed. This is another bad practice that should be avoided. Preventing the developer from changing their password reduces their ability to protect their credentials and comply with security policies. For example, if the developer's password is compromised, they cannot change it to prevent further unauthorized access. Or if the company requires periodic password rotation, they cannot update their password to meet this requirement. You should allow the developer to change their password as needed, and enforce a password policy that sets reasonable rules for password management34.
NEW QUESTION # 749
A company needs to migrate a PostgreSQL database from on-premises to Amazon RDS.
Which AWS service or tool should the company use to meet this requirement?
Answer: D
Explanation:
AWS Database Migration Service (AWS DMS) is a managed and automated service that helps you migrate your databases from your on-premises or cloud environment to AWS, either as a one-time migration or as a continuous replication. AWS DMS supports migration between 20-plus database and analytics engines, such as PostgreSQL, Oracle, MySQL, SQL Server, MongoDB, Amazon Aurora, Amazon RDS, Amazon Redshift, and Amazon S3. AWS DMS also provides schema conversion and validation tools, as well as monitoring and security features. AWS DMS is a cost-effective and reliable solution for database migration, as you only pay for the compute resources and additional log storage used during the migration process, and you can minimize the downtime and data loss with Multi-AZ and ongoing replication12 To migrate a PostgreSQL database from on-premises to Amazon RDS using AWS DMS, you need to perform the following steps:
Create an AWS DMS replication instance in the same AWS Region as your target Amazon RDS PostgreSQL DB instance. The replication instance is a server that runs the AWS DMS replication software and connects to your source and target endpoints. You can choose the instance type, storage, and network settings based on your migration requirements3 Create a source endpoint that points to your on-premises PostgreSQL database. You need to provide the connection details, such as the server name, port, database name, user name, and password. You also need to specify the engine name as postgres and the SSL mode as required4 Create a target endpoint that points to your Amazon RDS PostgreSQL DB instance. You need to provide the connection details, such as the server name, port, database name, user name, and password. You also need to specify the engine name as postgres and the SSL mode as verify-full.
Create a migration task that defines the migration settings and options, such as the replication instance, the source and target endpoints, the migration type (full load, full load and change data capture, or change data capture only), the table mappings, the task settings, and the task monitoring role. You can also use the AWS Schema Conversion Tool (AWS SCT) to convert your source schema to the target schema and apply it to the target endpoint before or after creating the migration task.
Start the migration task and monitor its progress and status using the AWS DMS console, the AWS CLI, or the AWS DMS API. You can also use AWS CloudFormation to automate the creation and execution of the migration task.
The other options are not suitable for migrating a PostgreSQL database from on-premises to Amazon RDS.
Cloud Adoption Readiness Tool is a tool that helps you assess your readiness for cloud adoption based on six dimensions: business, people, process, platform, operations, and security. It does not perform any database migration tasks. AWS Migration Hub is a service that helps you track and manage the progress of your application migrations across multiple AWS and partner services, such as AWS DMS, AWS Application Migration Service, AWS Server Migration Service, and CloudEndure Migration. It does not perform any database migration tasks itself, but rather integrates with other migration services. AWS Application Migration Service is a service that helps you migrate your applications from your on-premises or cloud environment to AWS without making any changes to the applications, their architecture, or the migrated servers. It does not support database migration, but rather replicates your servers as Amazon Machine Images (AMIs) and launches them as EC2 instances on AWS.
AWS Database Migration Service, What is AWS Database Migration Service?, Working with an AWS DMS replication instance, Creating source and target endpoints for PostgreSQL, [Creating a target endpoint for Amazon RDS for PostgreSQL], [Creating a migration task for AWS DMS] , [AWS Schema Conversion Tool], [Starting a migration task for AWS DMS] , [AWS CloudFormation], [Cloud Adoption Readiness Tool]
, [AWS Migration Hub], [AWS Application Migration Service]
NEW QUESTION # 750
Which Amazon EC2 instance pricing model can provide discounts of up to 90%?
Answer: D
Explanation:
Explanation
Spot Instances are Amazon EC2 instances that are available at a discounted price compared to On-Demand pricing. Spot Instances use spare EC2 capacity that is not being used by other customers, and the price fluctuates based on supply and demand. Customers can request Spot Instances for their applications and specify the maximum price they are willing to pay per hour. If the Spot price is lower than the customer's bid, the Spot Instance is launched and the customer pays the current Spot price. However, if the Spot price rises above the customer's bid, the Spot Instance is terminated by AWS and the customer is charged for the partial hour of usage. Therefore, Spot Instances can provide discounts of up to 90% or more, but they are not suitable for applications that require continuous or predictable availability. Spot Instances are recommended for applications that are flexible, fault-tolerant, or have low priority, such as batch processing, data analysis, or testing and development.
NEW QUESTION # 751
Which of the following is a benefit that AWS Professional Services provides?
Answer: A
Explanation:
Explanation
AWS Professional Services is a team of experts that help customers achieve their desired outcomes using the AWS Cloud. One of the benefits that AWS Professional Services provides is advisory solutions for AWS adoption, which include guidance on cloud strategy, architecture, migration, and innovation2. Management of the ongoing security of user data, technical support 24 hours a day, 7 days a week, and monitoring of monthly billing costs in AWS accounts are not benefits that AWS Professional Services provides, as they are either the responsibility of the customer or the features of other AWS services or support plans3
NEW QUESTION # 752
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