VALID SAA-C03 EXAM EXPERIENCE & RELIABLE SAA-C03 CRAM MATERIALS

Valid SAA-C03 Exam Experience & Reliable SAA-C03 Cram Materials

Valid SAA-C03 Exam Experience & Reliable SAA-C03 Cram Materials

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Amazon SAA-C03 (Amazon AWS Certified Solutions Architect - Associate) Certification Exam is a highly sought-after certification in the field of cloud computing. AWS has become one of the most widely used cloud computing platforms in the world, and the SAA-C03 certification is the ideal way to demonstrate one's expertise in AWS solutions architecture. Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam certification validates the knowledge and skills required to design and deploy scalable, highly available, and fault-tolerant systems on AWS.

The Amazon SAA-C03 Exam consists of multiple-choice and multiple-response questions, which are designed to test your understanding of AWS services and how they are used to design and deploy solutions in the cloud. SAA-C03 exam is timed and lasts for 130 minutes. To pass the exam, you must achieve a minimum score of 720 out of 1000.

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Passing the Amazon SAA-C03 Exam requires a thorough understanding of AWS services and their architecture. It is a challenging exam that tests the candidate's ability to design and implement scalable and reliable solutions on the AWS platform. Candidates who pass the exam are awarded the AWS Certified Solutions Architect - Associate certification, which is recognized globally and can help professionals advance their careers in the cloud computing industry.

Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q209-Q214):

NEW QUESTION # 209
A company is building a data analysis platform on AWS by using AWS Lake Formation. The platform will ingest data from different sources such as Amazon S3 and Amazon RDS. The company needs a secure solution to prevent access to portions of the data that contain sensitive information.

  • A. Create data filters to implement row-level security and cell-level security.
  • B. Create an IAM role that includes permissions to access Lake Formation tables.
  • C. Create an AWS Lambda function that removes sensitive information before Lake Formation ingests re data.
  • D. Create an AWS Lambda function that perodically Queries and removes sensitive information from Lake Formation tables.

Answer: A

Explanation:
This option is the most efficient because it uses data filters, which are specifications that restrict access to certain data in query results and engines integrated with Lake Formation1. Data filters can be used to implement row-level security and cell-level security, which are techniques to prevent access to portions of the data that contain sensitive information2. Data filters can be applied when granting Lake Formation permissions on a Data Catalog table, and can use PartiQL expressions to filter data based on conditions3. This solution meets the requirement of providing a secure solution to prevent access to portions of the data that contain sensitive information. Option A is less efficient because it uses an IAM role that includes permissions to access Lake Formation tables, which is a way to grant access to data in Lake Formation using IAM policies
4. However, this does not provide a way to prevent access to portions of the data that contain sensitive information. Option C is less efficient because it uses an AWS Lambda function that removes sensitive information before Lake Formation ingests the data, which is a way to perform data cleansing or transformation using serverless functions. However, this could involve significant changes to the application code and logic, and could also result in data loss or inconsistency. Option D is less efficient because it uses an AWS Lambda function that periodically queries and removes sensitive information from Lake Formation tables, which is a way to perform data cleansing or transformation using serverless functions. However, this could involve significant changes to the application code and logic, and could also result in data loss or inconsistency.


NEW QUESTION # 210
A company runs a fleet of web servers using an Amazon RDS for PostgreSQL DB instance After a routine compliance check, the company sets a standard that requires a recovery pant objective (RPO) of less than 1 second for all its production databases.
Which solution meets these requirement?

  • A. Configure the 06 instance in one Availability Zone, and configure AWS Database Migration Service (AWS DMS) change data capture (CDC) tasks
  • B. Enable a Multi-AZ deployment for the DB Instance
  • C. Configure the 06 instance in one Availability Zone and create multiple read replicas in a separate Availability Zone
  • D. Enable auto scaling for the OB instance m one Availability Zone.

Answer: B

Explanation:
This option is the most efficient because it uses a Multi-AZ deployment for the DB instance, which provides enhanced availability and durability for RDS database instances by automatically replicating the data to a standby instance in a different Availability Zone1. It also provides a recovery point objective (RPO) of less than 1 second for all its production databases, as the standby instance is kept in sync with the primary instance using synchronous physical replication2. This solution meets the requirement of requiring a RPO of less than
1 second for all its production databases. Option B is less efficient because it uses auto scaling for the DB instance in one Availability Zone, which is a way to automatically adjust the compute capacity of your DB instance based on load or a schedule3. However, this does not provide a RPO of less than 1 second for all its production databases, as it does not replicate the data to another Availability Zone. Option C is less efficient because it uses read replicas in a separate Availability Zone, which are read-only copies of your primary database that can serve read traffic and support scaling. However, this does not provide a RPO of less than 1 second for all its production databases, as read replicas use asynchronous replication and can lag behind the primary database. Option D is less efficient because it uses AWS Database Migration Service (AWS DMS) change data capture (CDC) tasks, which are tasks that capture changes made to source data and apply them to target data. However, this does not provide a RPO of less than 1 second for all its production databases, as AWS DMS uses asynchronous replication and can lag behind the source database.


NEW QUESTION # 211
A company requires all the data stored in the cloud to be encrypted at rest. To easily integrate this with other AWS services, they must have full control over the encryption of the created keys and also the ability to immediately remove the key material from AWS KMS. The solution should also be able to audit the key usage independently of AWS CloudTrail.
Which of the following options will meet this requirement?

  • A. Use AWS Key Management Service to create a CMK in a custom key store and store the non- extractable key material in AWS CloudHSM.
  • B. Use AWS Key Management Service to create AWS-owned CMKs and store the non-extractable key material in AWS CloudHSM.
  • C. Use AWS Key Management Service to create a CMK in a custom key store and store the non- extractable key material in Amazon S3.
  • D. Use AWS Key Management Service to create AWS-managed CMKs and store the non-extractable key material in AWS CloudHSM.

Answer: A

Explanation:
The AWS Key Management Service (KMS) custom key store feature combines the controls provided by AWS CloudHSM with the integration and ease of use of AWS KMS. You can configure your own CloudHSM cluster and authorize AWS KMS to use it as a dedicated key store for your keys rather than the default AWS KMS key store. When you create keys in AWS KMS you can choose to generate the key material in your CloudHSM cluster. CMKs that are generated in your custom key store never leave the HSMs in the CloudHSM cluster in plaintext and all AWS KMS operations that use those keys are only performed in your HSMs.

AWS KMS can help you integrate with other AWS services to encrypt the data that you store in these services and control access to the keys that decrypt it. To immediately remove the key material from AWS KMS, you can use a custom key store. Take note that each custom key store is associated with an AWS CloudHSM cluster in your AWS account. Therefore, when you create an AWS KMS CMK in a custom key store, AWS KMS generates and stores the non-extractable key material for the CMK in an AWS CloudHSM cluster that you own and manage. This is also suitable if you want to be able to audit the usage of all your keys independently of AWS KMS or AWS CloudTrail.
Since you control your AWS CloudHSM cluster, you have the option to manage the lifecycle of your CMKs independently of AWS KMS. There are four reasons why you might find a custom key store useful:
You might have keys that are explicitly required to be protected in a single-tenant HSM or in an HSM over which you have direct control.
You might have keys that are required to be stored in an HSM that has been validated to FIPS 140-2 level 3 overall (the HSMs used in the standard AWS KMS key store are either validated or in the process of being validated to level 2 with level 3 in multiple categories).
You might need the ability to immediately remove key material from AWS KMS and to prove you have done so by independent means.
You might have a requirement to be able to audit all use of your keys independently of AWS KMS or AWS CloudTrail.
Hence, the correct answer in this scenario is: Use AWS Key Management Service to create a CMK in a custom key store and store the non-extractable key material in AWS CloudHSM.
The option that says: Use AWS Key Management Service to create a CMK in a custom key store and store the non-extractable key material in Amazon S3 is incorrect because Amazon S3 is not a suitable storage service to use in storing encryption keys. You have to use AWS CloudHSM instead.
The options that say: Use AWS Key Management Service to create AWS-owned CMKs and store the non-extractable key material in AWS CloudHSM and Use AWS Key Management Service to create AWS- managed CMKs and store the non-extractable key material in AWS CloudHSM are both incorrect because the scenario requires you to have full control over the encryption of the created key. AWS- owned CMKs and AWS-managed CMKs are managed by AWS. Moreover, these options do not allow you to audit the key usage independently of AWS CloudTrail. References:
https://docs.aws.amazon.com/kms/latest/developerguide/custom-key-store-overview.html
https://aws.amazon.com/kms/faqs/
https://aws.amazon.com/blogs/security/are-kms-custom-key-stores-right-for-you/ Check out this AWS KMS Cheat Sheet:
https://tutorialsdojo.com/aws-key-management-service-aws-kms/


NEW QUESTION # 212
An ecommerce company hosts its analytics application in the AWS Cloud. The application generates about
300 MB of data each month. The data is stored in JSON format. The company is evaluating a disaster recovery solution to back up the data. The data must be accessible in milliseconds if it is needed, and the data must be kept for 30 days.
Which solution meets these requirements MOST cost-effectively?

  • A. Amazon S3 Standard
  • B. Amazon S3 Glacier
  • C. Amazon RDS for PostgreSQL
  • D. Amazon OpenSearch Service (Amazon Elasticsearch Service)

Answer: A

Explanation:
This solution meets the requirements of a disaster recovery solution to back up the data that is generated by an analytics application, stored in JSON format, and must be accessible in milliseconds if it is needed. Amazon S3 Standard is a durable and scalable storage class for frequently accessed data. It can store any amount of data and provide high availability and performance. It can also support millisecond access time for data retrieval.
Option A is incorrect because Amazon OpenSearch Service (Amazon Elasticsearch Service) is a search and analytics service that can index and query data, but it is not a backup solution for data stored in JSON format.
Option B is incorrect because Amazon S3 Glacier is a low-cost storage class for data archiving and long-term backup, but it does not support millisecond access time for data retrieval. Option D is incorrect because Amazon RDS for PostgreSQL is a relational database service that can store and query structured data, but it is not a backup solution for data stored in JSON format.
References:
https://aws.amazon.com/s3/storage-classes/
https://aws.amazon.com/s3/faqs/#Durability_and_data_protection


NEW QUESTION # 213
A company has an enterprise web application hosted on Amazon ECS Docker containers that use an Amazon FSx for Lustre filesystem for its high-performance computing workloads. A warm standby environment is running in another AWS region for disaster recovery. A Solutions Architect was assigned to design a system that will automatically route the live traffic to the disaster recovery (DR) environment only in the event that the primary application stack experiences an outage.
What should the Architect do to satisfy this requirement?

  • A. Set up a CloudWatch Events rule to monitor the primary Route 53 DNS endpoint and create a custom Lambda function. Execute the ChangeResourceRecordSets API call using the function to initiate the failover to the secondary DNS record.
  • B. Set up a CloudWatch Alarm to monitor the primary Route 53 DNS endpoint and create a custom Lambda function. Execute the ChangeResourceRecordSets API call using the function to initiate the failover to the secondary DNS record.
  • C. Set up a Weighted routing policy configuration in Route 53 by adding health checks on both the primary stack and the DR environment. Configure the network access control list and the route table to allow Route 53 to send requests to the endpoints specified in the health checks. Enable the Evaluate Target Health option by setting it to Yes.
  • D. Set up a failover routing policy configuration in Route 53 by adding a health check on the primary service endpoint. Configure Route 53 to direct the DNS queries to the secondary record when the primary resource is unhealthy. Configure the network access control list and the route table to allow Route 53 to send requests to the endpoints specified in the health checks. Enable the Evaluate Target Health option by setting it to Yes.

Answer: D

Explanation:
Use an active-passive failover configuration when you want a primary resource or group of resources to be available majority of the time and you want a secondary resource or group of resources to be on standby in case all the primary resources become unavailable. When responding to queries, Route 53 includes only the healthy primary resources. If all the primary resources are unhealthy, Route 53 begins to include only the healthy secondary resources in response to DNS queries.
To create an active-passive failover configuration with one primary record and one secondary record, you just create the records and specify Failover for the routing policy. When the primary resource is healthy, Route 53 responds to DNS queries using the primary record. When the primary resource is unhealthy, Route 53 responds to DNS queries using the secondary record.
You can configure a health check that monitors an endpoint that you specify either by IP address or by domain name. At regular intervals that you specify, Route 53 submits automated requests over the Internet to your application, server, or other resource to verify that it's reachable, available, and functional. Optionally, you can configure the health check to make requests similar to those that your users make, such as requesting a web page from a specific URL.

When Route 53 checks the health of an endpoint, it sends an HTTP, HTTPS, or TCP request to the IP address and port that you specified when you created the health check. For a health check to succeed, your router and firewall rules must allow inbound traffic from the IP addresses that the Route 53 health checkers use.
Hence, the correct answer is: Set up a failover routing policy configuration in Route 53 by adding a health check on the primary service endpoint. Configure Route 53 to direct the DNS queries to the secondary record when the primary resource is unhealthy. Configure the network access control list and the route table to allow Route 53 to send requests to the endpoints specified in the health checks.
Enable the Evaluate Target Health option by setting it to Yes.
The option that says: Set up a Weighted routing policy configuration in Route 53 by adding health checks on both the primary stack and the DR environment. Configure the network access control list and the route table to allow Route 53 to send requests to the endpoints specified in the health checks. Enable the Evaluate Target Health option by setting it to Yes is incorrect because Weighted routing simply lets you associate multiple resources with a single domain name (tutorialsdojo.com) or subdomain name (blog.tutorialsdojo.com) and choose how much traffic is routed to each resource. This can be useful for a variety of purposes, including load balancing and testing new versions of software, but not for a failover configuration. Remember that the scenario says that the solution should automatically route the live traffic to the disaster recovery (DR) environment only in the event that the primary application stack experiences an outage. This configuration is incorrectly distributing the traffic on both the primary and DR environment.
The option that says: Set up a CloudWatch Alarm to monitor the primary Route 53 DNS endpoint and create a custom Lambda function. Execute the ChangeResourceRecordSets API call using the function to initiate the failover to the secondary DNS record is incorrect because setting up a CloudWatch Alarm and using the Route 53 API is not applicable nor useful at all in this scenario. Remember that CloudWatch Alam is primarily used for monitoring CloudWatch metrics. You have to use a Failover routing policy instead.
The option that says: Set up a CloudWatch Events rule to monitor the primary Route 53 DNS endpoint and create a custom Lambda function. Execute theChangeResourceRecordSets API call using the function to initiate the failover to the secondary DNS record is incorrect because the Amazon CloudWatch Events service is commonly used to deliver a near real-time stream of system events that describe changes in some Amazon Web Services (AWS) resources. There is no direct way for CloudWatch Events to monitor the status of your Route 53 endpoints. You have to configure a health check and a failover configuration in Route 53 instead to satisfy the requirement in this scenario.
References:
https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/dns-failover-types.html
https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/health-checks-types.html
https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/dns-failover-router-firewall-rules.html Check out this Amazon Route 53 Cheat Sheet:
https://tutorialsdojo.com/amazon-route-53/


NEW QUESTION # 214
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