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The AWS Certified Database - Specialty (DBS-C01) exam is designed for individuals who have a strong understanding of database concepts and skills in designing, operating, and migrating AWS databases. AWS-Certified-Database-Specialty exam validates the skills and knowledge required to design, deploy, and maintain AWS database solutions.
Amazon DBS-C01 Exam is intended for professionals who have experience working with databases and are interested in becoming proficient in using AWS database services. AWS Certified Database - Specialty (DBS-C01) Exam certification can be obtained by passing a 65-question multiple-choice exam that is available in English, Japanese, Korean, and Simplified Chinese. AWS-Certified-Database-Specialty exam is proctored and conducted in a testing center, or online, making it convenient for professionals to take the exam from any location. AWS Certified Database - Specialty (DBS-C01) Exam certification is valid for three years, after which the candidates need to recertify to maintain their credentials.
Understanding functional and technical aspects of AWS Certified Database - Specialty Workload-Specific Database Design
The following will be discussed in AMAZON DBS-C01 exam dumps:
- Compare the costs of database solutions
- Determine strategies for disaster recovery and high availability
- Select appropriate database services for specific types of data and workloads
- Design database solutions for performance, compliance, and scalability
AWS-Certified-Database-Specialty Exam Reference
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Amazon AWS Certified Database - Specialty (DBS-C01) Exam Sample Questions (Q103-Q108):
NEW QUESTION # 103
A company has an application that uses an Amazon DynamoDB table as its data store. During normal business days, the throughput requirements from the application are uniform and consist of 5 standard write calls per second to the DynamoDB table. Each write call has 2 KB of data.
For 1 hour each day, the company runs an additional automated job on the DynamoDB table that makes 20 write requests per second. No other application writes to the DynamoDB table. The DynamoDB table does not have to meet any additional capacity requirements.
How should a database specialist configure the DynamoDB table's capacity to meet these requirements MOST cost-effectively?
- A. Use DynamoDB provisioned capacity with 10 WCUs and no auto scaling.
- B. Use DynamoDB provisioned capacity with 10 WCUs and auto scaling.
- C. Use DynamoDB provisioned capacity with 5 WCUs and auto scaling.
- D. Use DynamoDB provisioned capacity with 5 WCUs and a write-through cache that DynamoDB Accelerator (DAX) provides.
Answer: B
Explanation:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.ReadWriteCapacityMode.html
NEW QUESTION # 104
A business is transferring a database from one AWS Region to another using an Amazon RDS for SQL Server DB instance. The organization wishes to keep database downtime to a minimum throughout the transfer.
Which migration strategy should the organization use for this cross-regional move?
- A. Configure AWS Database Migration Service (AWS DMS) to replicate data between the source and the target databases. Once the replication is in sync, terminate the DMS task.
- B. Back up the source database using native backup to an Amazon S3 bucket in the same Region. Then restore the backup in the target Region.
- C. Add an RDS for SQL Server cross-Region read replica in the target Region. Once the replication is in sync, promote the read replica to master.
- D. Back up the source database using native backup to an Amazon S3 bucket in the same Region. Use Amazon S3 Cross-Region Replication to copy the backup to an S3 bucket in the target Region. Then restore the backup in the target Region.
Answer: A
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ReadRepl.XRgn.html With Amazon RDS, you can create a MariaDB, MySQL, Oracle, or PostgreSQL read replica in a different AWS Region from the source DB instance. Creating a cross-Region read replica isn't supported for SQL Server on Amazon RDS.
NEW QUESTION # 105
A business need a data warehouse system that stores data consistently and in a highly organized fashion. The organization demands rapid response times for end-user inquiries including current-year data, and users must have access to the whole 15-year dataset when necessary. Additionally, this solution must be able to manage a variable volume of incoming inquiries. Costs associated with storing the 100 TB of data must be maintained to a minimum.
Which solution satisfies these criteria?
- A. Leverage an Amazon Redshift data warehouse solution using a dense storage instance to store the most recent data. Keep historical data on Amazon S3 and access it using the Amazon Redshift Spectrum layer. Enable Amazon Redshift Concurrency Scaling.
- B. Leverage an Amazon Redshift data warehouse solution using a dense storage instance type while keeping all the data on local Amazon Redshift storage. Provision enough instances to support high demand.
- C. Leverage an Amazon Redshift data warehouse solution using a dense storage instance to store the most recent data. Keep historical data on Amazon S3 and access it using the Amazon Redshift Spectrum layer. Leverage Amazon Redshift elastic resize.
- D. Leverage an Amazon Redshift data warehouse solution using a dense storage instance to store the most recent data. Keep historical data on Amazon S3 and access it using the Amazon Redshift Spectrum layer. Provision enough instances to support high demand.
Answer: A
Explanation:
https://docs.aws.amazon.com/redshift/latest/dg/concurrency-scaling.html
"With the Concurrency Scaling feature, you can support virtually unlimited concurrent users and concurrent queries, with consistently fast query performance. When concurrency scaling is enabled, Amazon Redshift automatically adds additional cluster capacity when you need it to process an increase in concurrent read queries. Write operations continue as normal on your main cluster. Users always see the most current data, whether the queries run on the main cluster or on a concurrency scaling cluster. You're charged for concurrency scaling clusters only for the time they're in use. For more information about pricing, see Amazon Redshift pricing. You manage which queries are sent to the concurrency scaling cluster by configuring WLM queues. When you enable concurrency scaling for a queue, eligible queries are sent to the concurrency scaling cluster instead of waiting in line."
NEW QUESTION # 106
A company is running Amazon RDS for MySQL for its workloads. There is downtime when AWS operating system patches are applied during the Amazon RDS-specified maintenance window.
What is the MOST cost-effective action that should be taken to avoid downtime?
- A. Enable cross-Region read replicas and direct read traffic to then when Amazon RDS is down
- B. Enable an Amazon RDS for MySQL Multi-AZ configuration
- C. Migrate the workloads from Amazon RDS for MySQL to Amazon DynamoDB
- D. Enable a read replicas and direct read traffic to it when Amazon RDS is down
Answer: D
NEW QUESTION # 107
A company wants to automate the creation of secure test databases with random credentials to be stored safely for later use. The credentials should have sufficient information about each test database to initiate a connection and perform automated credential rotations. The credentials should not be logged or stored anywhere in an unencrypted form.
Which steps should a Database Specialist take to meet these requirements using an AWS CloudFormation template?
- A. Create the secret with a chosen user name and a randomly generated password set by the GenerateSecretString property. Add an SecretTargetAttachment resource with the SecretId property set to the Amazon Resource Name (ARN) of the secret and the TargetId property set to a parameter value matching the desired database ARN. Then, create a database with the MasterUserName and MasterUserPassword properties set to the previously created values in the secret.
- B. Create the database with the MasterUserName and MasterUserPassword properties set to the default values. Then, create the secret with the user name and password set to the same default values. Add a Secret Target Attachment resource with the SecretId and TargetId properties set to the Amazon Resource Names (ARNs) of the secret and the database. Finally, update the secret's password value with a randomly generated string set by the GenerateSecretString property.
- C. Add a resource of type AWS::SecretsManager::Secret and specify the GenerateSecretString property. Then, define the database user name in the SecureStringTemplate template. Create a resource for the database and reference the secret string for the MasterUserName and MasterUserPassword properties. Then, add a resource of type AWS::SecretsManagerSecretTargetAttachment with the SecretId and TargetId properties set to the Amazon Resource Names (ARNs) of the secret and the database.
- D. Add a Mapping property from the database Amazon Resource Name (ARN) to the secret ARN. Then, create the secret with a chosen user name and a randomly generated password set by the GenerateSecretString property. Add the database with the MasterUserName and MasterUserPassword properties set to the user name of the secret.
Answer: C
NEW QUESTION # 108
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