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Amazon SAA-C03 exam is a certification exam that validates the technical expertise of individuals in designing and deploying scalable and fault-tolerant systems on AWS. SAA-C03 exam tests the candidate's knowledge of AWS services and their ability to design and deploy highly available, cost-effective, and scalable systems on AWS. Candidates who pass SAA-C03 exam will demonstrate their ability to design and deploy robust and scalable systems on AWS, which is highly valued by employers. To prepare for the exam, candidates should enroll in AWS training courses, read AWS documentation, and practice with AWS services.
Achieving the Amazon SAA-C03 certification demonstrates a high level of expertise in designing and deploying applications on AWS. AWS Certified Solutions Architect - Associate certification is recognized by employers and industry experts as a valuable credential that can help users advance their careers in the cloud computing industry. AWS Certified Solutions Architect - Associate certification is also a prerequisite for other AWS certifications, such as the Professional and Specialty certifications.
To prepare for the Amazon SAA-C03 Exam, candidates are advised to familiarize themselves with the AWS platform and its core services. They should also have a good understanding of cloud computing concepts, such as virtualization, storage, and networking. There are many resources available online to help candidates prepare for the exam, including AWS documentation, training courses, and practice exams.
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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q774-Q779):
NEW QUESTION # 774
A company has a three-tier environment on AWS that ingests sensor data from its users' devices The traffic flows through a Network Load Balancer (NIB) then to Amazon EC2 instances for the web tier and finally to EC2 instances for the application tier that makes database calls What should a solutions architect do to improve the security of data in transit to the web tier?
- A. Encrypt the Amazon Elastic Block Store (Amazon EBS) volume on the EC2 instances using AWS Key Management Service (AWS KMS)
- B. Configure AWS Shield Advanced and enable AWS WAF on the NLB
- C. Change the load balancer to an Application Load Balancer and attach AWS WAF to it
- D. Configure a TLS listener and add the server certificate on the NLB
Answer: D
Explanation:
1. How do you protect your data in transit?
Best Practices:
Implement secure key and certificate management: Store encryption keys and certificates securely and rotate them at appropriate time intervals while applying strict access control; for example, by using a certificate management service, such as AWS Certificate Manager (ACM).
Enforce encryption in transit: Enforce your defined encryption requirements based on appropriate standards and recommendations to help you meet your organizational, legal, and compliance requirements.
Automate detection of unintended data access: Use tools such as GuardDuty to automatically detect attempts to move data outside of defined boundaries based on data classification level, for example, to detect a trojan that is copying data to an unknown or untrusted network using the DNS protocol.
Authenticate network communications: Verify the identity of communications by using protocols that support authentication, such as Transport Layer Security (TLS) or IPsec.
https://wa.aws.amazon.com/wat.question.SEC_9.en.html
NEW QUESTION # 775
A company plans to use an Amazon S3 bucket to archive backup data. Regulations require the company to retain the backup data for 7 years.
During the retention period, the company must prevent users, including administrators, from deleting the data.
The company can delete the data after 7 years.
Which solution will meet these requirements?
- A. Create an S3 Batch Operations job to set a legal hold on each object for 7 years. Create an S3 Lifecycle policy to delete the data after 7 years.
- B. Create an S3 Object Lock default retention policy that retains data for 7 years in compliance mode.
Create an S3 Lifecycle policy to delete the data after 7 years. - C. Create an S3 bucket policy that denies delete operations for 7 years. Create an S3 Lifecycle policy to delete the data after 7 years.
- D. Create an S3 Object Lock default retention policy that retains data for 7 years in governance mode.
Create an S3 Lifecycle policy to delete the data after 7 years.
Answer: B
Explanation:
Comprehensive and Detailed Step-by-Step Explanation:
The requirement is toprevent data deletion by any user, including administrators, for 7 years while allowing automatic deletion afterward.
S3 Object Lock in Compliance Mode (Correct Choice - C)
Compliance mode ensures that even the root user cannot delete or modify the objects during the retention period.
After 7 years, the S3 Lifecycle policy automatically deletes the objects.
This meets bothimmutability and automatic deletionrequirements.
Governance Mode (Option B - Incorrect)
Governance mode prevents deletion,but administrators can override it.
The requirement explicitly states thateven administrators must not be able to delete the data.
S3 Bucket Policy (Option A - Incorrect)
An S3 bucket policy candeny deletes, but policies can be modified at any time by administrators.
It does not enforce strict retention like Object Lock.
S3 Batch Operations Job (Option D - Incorrect)
A legal hold does not have an automatic expiration.
Legal holds must be manually removed, which is not efficient.
Why Option C is Correct:
S3 Object Lock in Compliance Mode prevents deletion by all users, including administrators.
The S3 Lifecycle policy deletes the data automatically after 7 years, reducing operational overhead.
References:
S3 Object Lock Compliance Mode
S3 Lifecycle Policies
NEW QUESTION # 776
A healthcare provider is planning to store patient data on AWS as PDF files. To comply with regulations, the company must encrypt the data and store the files in multiple locations. The data must be available for immediate access from any environment. Which solution will meet these requirements MOST cost-effectively?
- A. Store the files in an Amazon S3 bucket. Use the Standard storage class. Enable server-side encryption with Amazon S3 managed keys (SSE-S3) on the bucket. Configure cross-Region replication on the bucket.
- B. Store the files in an Amazon Elastic Block Store (Amazon EBS) volume. Configure AWS Backup to back up the volume on a regular schedule. Use an AWS KMS key to encrypt the backups.
- C. Store the files in an Amazon Elastic File System (Amazon EFS) volume. Use an AWS KMS managed key to encrypt the EFS volume. Use AWS DataSync to replicate the EFS volume to a second AWS Region.
- D. Store the files in an Amazon S3 bucket. Use the S3 Glacier Flexible Retrieval storage class.Ensure that all PDF files are encrypted by using client-side encryption before the files are uploaded. Configure cross-Region replication on the bucket.
Answer: A
Explanation:
AmazonS3 with the Standard storage classis the best solution:
Encryption: SSE-S3 ensures server-side encryption of the data, meeting compliance requirements. Immediate access: The Standard storage class provides low-latency and high- throughput access to data.
Multi-location storage: Cross-Region replication ensures data is stored in multiple AWS Regions for redundancy.
Why Other Options Are Not Ideal:
Option B:
Amazon EFS is more costly and suited for file systems rather than object storage.Not cost- effective.
Option C:
Amazon EBS is block storage and not optimized for object storage like PDFs. Backup schedules do not ensure immediate availability.Not suitable.
Option D:
S3 Glacier Flexible Retrieval is designed for archival, not immediate access.Does not meet access requirements.
NEW QUESTION # 777
A company stores data in an on-premises Oracle relational database. The company needs to make the data available in Amazon Aurora PostgreSQL for analysis The company uses an AWS Site-to-Site VPN connection to connect its on-premises network to AWS.
The company must capture the changes that occur to the source database during the migration to Aurora PostgreSQL.
Which solution will meet these requirements?
- A. Use the AWS Schema Conversion Tool (AWS SCT) to convert the Oracle schema to Aurora PostgreSQL schema. Use the AWS Database Migration Service (AWS DMS) full-load migration task to migrate the data.
- B. Use the AWS Schema Conversion Tool (AWS SCT) to convert the Oracle schema to Aurora PostgreSQL schema. Use AWS Database Migration Service (AWS DMS) to migrate the existing data and replicate the ongoing changes.
- C. Use an AWS Snowball device to migrate the data to an Amazon S3 bucket. Import the S3 data to Aurora PostgreSQL by using the Aurora PostgreSQL aws_s3 extension.
- D. Use AWS DataSync to migrate the data to an Amazon S3 bucket. Import the S3 data to Aurora PostgreSQL by using the Aurora PostgreSQL aws_s3 extension.
Answer: B
Explanation:
For the migration of data from an on-premises Oracle database to Amazon Aurora PostgreSQL, this solution effectively handles schema conversion, data migration, and ongoing data replication.
* AWS Schema Conversion Tool (SCT): SCT is used to convert the Oracle database schema to a format compatible with Aurora PostgreSQL. This tool automatically converts the database schema and code objects, like stored procedures, to the target database engine.
* AWS Database Migration Service (DMS): DMS is employed to perform the data migration. It supports both full-load migrations (for initial data transfer) and continuous replication of ongoing changes (Change Data Capture, or CDC). This ensures that any updates to the Oracle database during the migration are captured and applied to the Aurora PostgreSQL database, minimizing downtime.
* Why Not Other Options?:
* Option A (SCT + DMS full-load only): This option does not capture ongoing changes, which is crucial for a live database migration to ensure data consistency.
* Option B (DataSync + S3): AWS DataSync is more suited for file transfers rather than database migrations, and it doesn't support ongoing change replication.
* Option D (Snowball + S3): Snowball is typically used for large-scale data transfers that don't require continuous synchronization, making it less suitable for this scenario where ongoing changes must be captured.
AWS References:
* AWS Schema Conversion Tool - Guidance on using SCT for database schema conversions.
* AWS Database Migration Service - Detailed documentation on using DMS for data migrations and ongoing replication.
NEW QUESTION # 778
A company needs to integrate with a third-party data feed. The data feed sends a webhook to notify an external service when new data is ready for consumption A developer wrote an AWS Lambfe function to retrieve data when the company receives a webhook callback The developer must make the Lambda function available for the third party to call.
Which solution will meet these requirements with the MOST operational efficiency?
- A. Create a function URL for the Lambda function. Provide the Lambda function URL to the third party for the webhook.
- B. Deploy an Application Load Balancer (ALB) in front of the Lambda function. Provide the ALB URL to the third party for the webhook
- C. Create an Amazon Simple Queue Service (Amazon SQS) queue. Attach the queue to the Lambda function. Provide the public hostname of the SQS queue to the third party for the webhook.
- D. Create an Amazon Simple Notification Service (Amazon SNS) topic. Attach the topic to the Lambda function. Provide the public hostname of the SNS topic to the third party for the webhook.
Answer: A
Explanation:
A function URL is a unique identifier for a Lambda function that can be used to invoke the function over HTTPS. It is composed of the API endpoint of the AWS Region where the function is deployed, and the name or ARN of the function1. By creating a function URL for the Lambda function, the solution can make the Lambda function available for the third party to call with the most operational efficiency.
1. Deploy an Application Load Balancer (ALB) in front of the Lambda function. Provide the ALB URL to the third party for the webhook. This solution will not meet the requirement of the most operational efficiency, as it involves creating and managing an additional resource (ALB) that is not necessary for invoking a Lambda function over HTTPS2.
2. Create an Amazon Simple Notification Service (Amazon SNS) topic. Attach the topic to the Lambda function. Provide the public hostname of the SNS topic to the third party for the webhook. This solution will not work, as Amazon SNS topics do not have public hostnames that can be used as webhooks. SNS topics are used to publish messages to subscribers, not to receive messages from external sources3.
3. Create an Amazon Simple Queue Service (Amazon SQS) queue. Attach the queue to the Lamb-da function. Provide the public hostname of the SQS queue to the third party for the webhook. This solution will not work, as Amazon SQS queues do not have public hostnames that can be used as webhooks. SQS queues are used to send, store, and receive messages between AWS services, not to receive messages from external sources.
Reference URL: https://docs.aws.amazon.com/lambda/latest/dg/lambda-api-permissions-ref.html
NEW QUESTION # 779
......
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