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To take the DBS-C01 exam, candidates must have at least five years of experience in database technologies, including at least two years of experience using AWS services. They should also have a strong understanding of data modeling, database design, and database security. Passing the exam demonstrates that a candidate has the skills and knowledge necessary to design and deploy AWS database solutions that meet the needs of their organization.

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The AWS Certified Database - Specialty exam is ideal for individuals who work with large-scale databases, data warehousing, and big data processing. The exam requires candidates to possess a deep understanding of database design principles, data modeling, query optimization, and database security. The certification validates the candidate's ability to design and implement scalable, secure, and highly available database solutions using AWS services.

Amazon AWS Certified Database - Specialty (DBS-C01) Exam Sample Questions (Q154-Q159):

NEW QUESTION # 154
A company is building a new web platform where user requests trigger an AWS Lambda function that performs an insert into an Amazon Aurora MySQL DB cluster. Initial tests with less than 10 users on the new platform yielded successful execution and fast response times. However, upon more extensive tests with the actual target of 3,000 concurrent users, Lambda functions are unable to connect to the DB cluster and receive too many connections errors.
Which of the following will resolve this issue?

A. Edit the my.cnf file for the DB cluster to increase max_connections
B. Change the DB cluster to Multi-AZ
C. Increase the instance size of the DB cluster
D. Increase the number of Aurora Replicas

Answer: C

NEW QUESTION # 155
A company uses Amazon Aurora for secure financial transactions. The data must always be encrypted at rest and in transit to meet compliance requirements.
Which combination of actions should a database specialist take to meet these requirements? (Choose two.)

A. Modify the existing Aurora DB cluster and enable encryption using an AWS Key Management Service (AWS KMS) encryption key. Apply the changes immediately.
B. Use SSL/TLS to secure the in-transit connection between the financial application and the Aurora DB cluster.
C. Use AWS Key Management Service (AWS KMS) to secure the in-transit connection between the financial application and the Aurora DB cluster.
D. Create an Aurora Replica with encryption enabled using AWS Key Management Service (AWS KMS). Then promote the replica to master.
E. Take a snapshot of the Aurora DB cluster and encrypt the snapshot using an AWS Key Management Service (AWS KMS) encryption key. Restore the snapshot to a new DB cluster and update the financial application database endpoints.

Answer: A,B

NEW QUESTION # 156
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. Migrate the workloads from Amazon RDS for MySQL to Amazon DynamoDB
B. Enable cross-Region read replicas and direct read traffic to then when Amazon RDS is down
C. Enable a read replicas and direct read traffic to it when Amazon RDS is down
D. Enable an Amazon RDS for MySQL Multi-AZ configuration

Answer: D

Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/rds-required-maintenance/ To minimize downtime, modify the Amazon RDS DB instance to a Multi-AZ deployment. For Multi-AZ deployments, OS maintenance is applied to the secondary instance first, then the instance fails over, and then the primary instance is updated. The downtime is during failover. For more information, see Maintenance for Multi-AZ Deployments. https://aws.amazon.com/rds/faqs/ The availability benefits of Multi-AZ also extend to planned maintenance. For example, with automated backups, I/O activity is no longer suspended on your primary during your preferred backup window, since backups are taken from the standby. In the case of patching or DB instance class scaling, these operations occur first on the standby, prior to automatic fail over. As a result, your availability impact is limited to the time required for automatic failover to complete.

NEW QUESTION # 157
A large ecommerce company uses Amazon DynamoDB to handle the transactions on its web portal. Traffic patterns throughout the year are usually stable; however, a large event is planned. The company knows that traffic will increase by up to 10 times the normal load over the 3-day event. When sale prices are published during the event, traffic will spike rapidly.
How should a Database Specialist ensure DynamoDB can handle the increased traffic?

A. Ensure the table is always provisioned to meet peak needs
B. Allow burst capacity to handle the additional load
C. Preprovision additional capacity for the known peaks and then reduce the capacity after the event
D. Set an AWS Application Auto Scaling policy for the table to handle the increase in traffic

Answer: B

NEW QUESTION # 158
A corporation wishes to move a 1 TB Oracle database from its current location to an Amazon Aurora PostgreSQL DB cluster. The database specialist at the firm noticed that the Oracle database stores 100 GB of large binary objects (LOBs) across many tables. The Oracle database supports LOBs up to 500 MB in size and an average of 350 MB. AWS DMS was picked by the Database Specialist to transfer the data with the most replication instances.
How should the database specialist improve the transfer of the database to AWS DMS?

A. Create two tasks: task1 with LOB tables using limited LOB mode with a maximum LOB size of 500 MB and task 2 without LOBs
B. Create two tasks: task1 with LOB tables using full LOB mode with a LOB chunk size of 500 MB and task2 without LOBs
C. Create a single task using full LOB mode with a LOB chunk size of 500 MB to migrate the data and LOBs together
D. Create a single task using limited LOB mode with a maximum LOB size of 500 MB to migrate data and LOBs together

Answer: A

Explanation:
https://docs.aws.amazon.com/dms/latest/userguide/CHAP_BestPractices.html#CHAP_BestPractices.LOBS,
"AWS DMS migrates LOB data in two phases: 1. AWS DMS creates a new row in the target table and populates the row with all data except the associated LOB value. 2.AWS DMS updates the row in the target table with the LOB data." This means that we would need two tasks, one per phase and use limited LOB mode for best performance.

NEW QUESTION # 159
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