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Amazon SAA-C03 exam is the latest version of the Amazon AWS Certified Solutions Architect - Associate certification exam. It is designed to test the candidate's knowledge and skills in designing and deploying scalable, highly available, and fault-tolerant systems on the AWS platform. The SAA-C03 Exam covers a wide range of topics, including AWS architecture, networking, security, storage, database, compute, and AWS services.
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To prepare for the Amazon SAA-C03 Exam, candidates are advised to take official training courses, read AWS documentation, and gain hands-on experience with AWS services. There are also many online resources available, such as practice exams, study guides, and forums, which can help candidates prepare effectively for the exam. It is also recommended that candidates have prior experience working with AWS services, as this can improve their chances of passing the exam.
NEW QUESTION # 842
A company is using an Amazon Redshift cluster to run analytics queries for multiple sales teams. In addition to the typical workload, on the last Monday morning of each month, thousands of users run reports. Users have reported slow response times during the monthly surge.
The company must improve query performance without impacting the availability of the Redshift cluster.
Which solution will meet these requirements?
Answer: C
Explanation:
Concurrency Scaling allows Amazon Redshift to add transient capacity automatically to handle bursts in concurrent queries. This is ideal for scenarios with predictable surge periods, such as end-of-month reporting.
It improves performance without manual resizing or cluster modification and without affecting availability. Resizing requires manual intervention and potential downtime, and Redshift Spectrum is designed for querying data in S3, not for solving concurrency issues.
NEW QUESTION # 843
A company is developing an application using Amazon Aurora MySQL. The team will frequently make schema changes to test new features without affecting production. After testing, changes must be promoted to production with minimal downtime.
Which solution meets these requirements?
Answer: D
Explanation:
Aurora blue/green deployments are specifically designed for safe schema changes, zero-downtime updates, and production isolation.
The staging (green) environment can receive schema changes without affecting production (blue). After validation, you perform a fast, minimally disruptive switchover that updates production.
Read replicas (Option B) do not allow schema changes. Creating an independent staging cluster (Option A) does not provide automated, low-downtime cutover. DynamoDB (Option D) is not compatible with MySQL schemas.
NEW QUESTION # 844
An ecommerce company runs a PostgreSQL database on an Amazon EC2 instance. The database stores data in Amazon Elastic Block Store (Amazon EBS) volumes. The daily peak input/output transactions per second (IOPS) do not exceed 15,000 IOPS. The company wants to migrate the database to Amazon RDS for PostgreSQL and to provision disk IOPS performance that is independent of disk storage capacity.
Which solution will meet these requirements MOST cost-effectively?
Answer: C
Explanation:
EBS gp3 volumes allow you to independently configure IOPS and throughput, up to 16,000 IOPS, regardless of the volume size, and at a lower cost compared to io1/io2 provisioned IOPS volumes. This meets the requirement for cost-effective, predictable IOPS performance for Amazon RDS for PostgreSQL.
AWS Documentation Extract:
"With gp3 volumes, you can provision performance independent of storage capacity, up to 16,000 IOPS. This allows for cost-effective scaling for applications that require high performance at a lower price point compared to io1." (Source: Amazon EBS documentation, gp3 Volumes) A: gp2 ties IOPS to volume size; 5 TiB is wasteful if only 15,000 IOPS are needed.
B: io1 works but is significantly more expensive than gp3 for most workloads.
D: Magnetic volumes do not support high IOPS.
Reference: AWS Certified Solutions Architect - Official Study Guide, EBS Storage Options.
NEW QUESTION # 845
A solutions architect is designing a user authentication solution for a company The solution must invoke two-factor authentication for users that log in from inconsistent geographical locations. IP addresses, or devices. The solution must also be able to scale up to accommodate millions of users.
Which solution will meet these requirements'?
Answer: D
Explanation:
(MFA)
Explanation:
Amazon Cognito user pools provide a secure and scalable user directory for user authentication and management. User pools support various authentication methods, such as username and password, email and password, phone number and password, and social identity providers. User pools also support multi-factor authentication (MFA), which adds an extra layer of security by requiring users to provide a verification code or a biometric factor in addition to their credentials. User pools can also enable risk-based adaptive authentication, which dynamically adjusts the authentication challenge based on the risk level of the sign-in attempt. For example, if a user tries to sign in from an unfamiliar device or location, the user pool can require a stronger authentication factor, such as SMS or email verification code. This feature helps to protect user accounts from unauthorized access and reduce the friction for legitimate users. User pools can scale up to millions of users and integrate with other AWS services, such as Amazon SNS, Amazon SES, AWS Lambda, and AWS KMS.
Amazon Cognito identity pools provide a way to federate identities from multiple identity providers, such as user pools, social identity providers, and corporate identity providers. Identity pools allow users to access AWS resources with temporary, limited-privilege credentials. Identity pools do not provide user authentication or management features, such as MFA or adaptive authentication. Therefore, option B is not correct.
AWS Identity and Access Management (IAM) is a service that helps to manage access to AWS resources. IAM users are entities that represent people or applications that need to interact with AWS. IAM users can be authenticated with a password or an access key. IAM users can also enable MFA for their own accounts, by using the AllowManageOwnUserMFA action in an IAM policy. However, IAM users are not suitable for user authentication for web or mobile applications, as they are intended for administrative purposes. IAM users also do not support adaptive authentication based on risk factors. Therefore, option C is not correct.
AWS IAM Identity Center (AWS Single Sign-On) is a service that enables users to sign in to multiple AWS accounts and applications with a single set of credentials. AWS SSO supports various identity sources, such as AWS SSO directory, AWS Managed Microsoft AD, and external identity providers. AWS SSO also supports MFA for user authentication, which can be configured in the permission sets that define the level of access for each user. However, AWS SSO does not support adaptive authentication based on risk factors. Therefore, option D is not correct.
Reference:
Amazon Cognito User Pools
Adding Multi-Factor Authentication (MFA) to a User Pool
Risk-Based Adaptive Authentication
Amazon Cognito Identity Pools
IAM Users
Enabling MFA Devices
AWS Single Sign-On
How AWS SSO Works
NEW QUESTION # 846
A company is running a multi-tier recommence web application in the AWS Cloud. The application runs on Amazon EC2 instances with an Amazon RDS for MySQL Multi-AZ OB instance. Amazon ROS is configured with the latest generation DB instance with 2.000 GB of storage In a General Purpose SSD (gp3) Amazon Elastic Block Store (Amazon EBSl volume. The database performance affects the application during periods high demand.
A database administrator analyzes the logs in Amazon CloudWatch Logs and discovers that the application performance always degrades when the number of read and write IOPS is higher than 20.000.
What should a solutions architect do to improve the application performance?
Answer: A
Explanation:
https://aws.amazon.com/ebs/features/ Amazon EBS provides a range of options that allow you to optimize storage performance and cost for your workload. These options are divided into two major categories: SSD- backed storage for transactional workloads, such as databases and boot volumes (performance depends primarily on IOPS), and HDD-backed storage for throughput intensive workloads, such as MapReduce and log processing (performance depends primarily on MB/s).
NEW QUESTION # 847
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