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Amazon SAA-C03 certification exam consists of 65 multiple-choice questions that need to be answered within 130 minutes. SAA-C03 exam covers a wide range of topics, including AWS core services, security, database services, networking, and deployment and management. SAA-C03 exam is available in multiple languages, including English, Japanese, Korean, and Simplified Chinese.
Amazon SAA-C03 exam consists of multiple-choice and multiple-response questions and is conducted online via the AWS Certification portal. SAA-C03 Exam is 130 minutes long, and candidates are required to score at least 720 out of 1000 to pass. SAA-C03 exam covers a wide range of topics, including AWS storage solutions, compute and networking services, security, and application integration. Candidates must have a solid understanding of these topics to be successful on the exam.
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The SAA-C03 Certification Exam comprises of 65 multiple-choice and multiple-response questions, and the candidate is given 130 minutes to complete the exam. SAA-C03 exam is available in multiple languages, including English, Japanese, Korean, and Simplified Chinese. The passing score for the exam is 720 out of 1000, and the certification is valid for three years.
NEW QUESTION # 309
A company needs a data encryption solution for a machine learning (ML) process. The solution must use an AWS managed service. The ML process currently reads a large number of objects in Amazon S3 that are encrypted by a customer managed AWS KMS key. The current process incurs significant costs because of excessive calls to AWS Key Management Service (AWS KMS) to decrypt S3 objects. The company wants to reduce the costs of API calls to decrypt S3 objects.
Answer: C
Explanation:
Amazon S3 Bucket Keys reduce the cost of AWS KMS API requests by generating a data key at the bucket level instead of individually calling KMS for every object read or written. This approach is particularly effective when workloads, such as ML pipelines, involve reading large numbers of encrypted objects. Switching to AWS managed keys (A) does not reduce the frequency of API calls. Removing encryption (B) would violate compliance/security requirements. Using CloudHSM (C) adds cost and operational burden. Therefore, the correct solution is D - enabling S3 Bucket Keys with SSE-KMS, which significantly reduces decryption costs while maintaining secure encryption.
Reference:
* Amazon S3 User Guide - Using S3 Bucket Keys for SSE-KMS
* AWS KMS Developer Guide - Cost optimization for KMS encryption
NEW QUESTION # 310
A company has launched an Amazon RDS for MySQL DB instance. Most of the connections to the database come from serverless applications. Application traffic to the database changes significantly at random intervals. At times of high demand, users report that their applications experience database connection rejection errors. Which solution will resolve this issue with the LEAST operational overhead?
Answer: A
Explanation:
Amazon RDS Proxy is designed to manage a large number of database connections from applications, especially serverless applications that can scale quickly. It improves application availability and scalability by pooling and sharing established database connections. This reduces the overhead of database connections and prevents overload during traffic spikes.
NEW QUESTION # 311
A company stores a large number of image files in an Amazon S3 bucket. The images need to be readily available for 180 days. The company rarely accesses images that are older than 180 days. However, the company must be able to access images immediately when necessary.
The company wants to archive images that are older than 360 days, but the company must be able to access the images instantly when required. The images cannot be deleted. The company requires high availability and redundancy throughout the entire lifecycle of the files.
The company will use S3 Standard storage for the first 180 days. The company needs to configure S3 Lifecycle rules to handle the remaining lifecycle stages of the files.
Which solution will meet these requirements MOST cost-effectively?
Answer: B
Explanation:
After 180 days, S3 Standard-IA is the right choice because it provides immediate access while maintaining high availability and multi-AZ redundancy, unlike S3 One Zone-IA, which stores data in only one Availability Zone. After 360 days, S3 Glacier Instant Retrieval is the most cost- effective archive class that still provides immediate, milliseconds access when needed. S3 Glacier Flexible Retrieval does not fit because retrieval typically takes minutes to hours rather than instant access.
NEW QUESTION # 312
A company is in the process of migrating their applications to AWS. One of their systems requires a database that can scale globally and handle frequent schema changes. The application should not have any downtime or performance issues whenever there is a schema change in the database. It should also provide a low latency response to high-traffic queries.
Which is the most suitable database solution to use to achieve this requirement?
Answer: B
Explanation:
Before we proceed in answering this question, we must first be clear with the actual definition of a
"schema". Basically, the english definition of a schema is: a representation of a plan or theory in the form of an outline or model.
Just think of a schema as the "structure" or a "model" of your data in your database. Since the scenario requires that the schema, or the structure of your data, changes frequently, then you have to pick a database which provides a non-rigid and flexible way of adding or removing new types of data. This is a classic example of choosing between a relational database and non-relational (NoSQL) database.
A relational database is known for having a rigid schema, with a lot of constraints and limits as to which (and what type of ) data can be inserted or not. It is primarily used for scenarios where you have to support complex queries which fetch data across a number of tables. It is best for scenarios where you have complex table relationships but for use cases where you need to have a flexible schema, this is not a suitable database to use.
For NoSQL, it is not as rigid as a relational database because you can easily add or remove rows or elements in your table/collection entry. It also has a more flexible schema because it can store complex hierarchical data within a single item which, unlike a relational database, does not entail changing multiple related tables. Hence, the best answer to be used here is a NoSQL database, like DynamoDB.
When your business requires a low-latency response to high-traffic queries, taking advantage of a NoSQL system generally makes technical and economic sense.
Amazon DynamoDB helps solve the problems that limit the relational system scalability by avoiding them. In DynamoDB, you design your schema specifically to make the most common and important queries as fast and as inexpensive as possible. Your data structures are tailored to the specific requirements of your business use cases.
Remember that a relational database system does not scale well for the following reasons:
- It normalizes data and stores it on multiple tables that require multiple queries to write to disk.
- It generally incurs the performance costs of an ACID-compliant transaction system.
- It uses expensive joins to reassemble required views of query results.
For DynamoDB, it scales well due to these reasons:
- Its schema flexibility lets DynamoDB store complex hierarchical data within a single item. DynamoDB is not a totally schemaless database since the very definition of a schema is just the model or structure of your data.
- Composite key design lets it store related items close together on the same table.
An Amazon RDS instance in Multi-AZ Deployments configuration and an Amazon Aurora database with Read Replicas are incorrect because both of them are a type of relational database. Redshift is incorrect because it is primarily used for OLAP systems.
References:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/bp-general-nosql-design.html
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/bp-relational-modeling.html
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/SQLtoNoSQL.html Also check the AWS Certified Solutions Architect Official Study Guide: Associate Exam 1st Edition and turn to page 161 which talks about NoSQL Databases. Check out this Amazon DynamoDB Cheat Sheet:
https://tutorialsdojo.com/amazon-dynamodb
Tutorials Dojo's AWS Certified Solutions Architect Associate Exam Study Guide:
https://tutorialsdojo.com/aws-certified-solutions-architect-associate/
NEW QUESTION # 313
[Design High-Performing Architectures]
A company is migrating its on-premises workload to the AWS Cloud. The company already uses several Amazon EC2 instances and Amazon RDS DB instances. The company wants a solution that automatically starts and stops the EC2 instances and D6 instances outside of business hours. The solution must minimize cost and infrastructure maintenance.
Which solution will meet these requirement?
Answer: A
Explanation:
The most efficient solution for automatically starting and stopping EC2 instances and DB instances on a schedule while minimizing cost and infrastructure maintenance is to create an AWS Lambda function and configure Amazon EventBridge to invoke the function on a schedule.
Option A, scaling EC2 instances by using elastic resize and scaling DB instances to zero outside of business hours, is not feasible as DB instances cannot be scaled to zero.
Option B, exploring AWS Marketplace for partner solutions, may be an option, but it may not be the most efficient solution and could potentially add additional costs.
Option C, launching another EC2 instance and configuring a crontab schedule to run shell scripts that will start and stop the existing EC2 instances and DB instances on a schedule, adds unnecessary infrastructure and maintenance.
NEW QUESTION # 314
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