AWS Certified Developer - Associate Questions and Answers (Dumps and Practice Questions)

Question : You are using Amazon RDS for the data storage of your application. Underline database is Oracle.
Now oracle has recently released a new feature which is
very helpful for your application. Now how would you apply this patch to RDS

1. You have to raise a request with Amazon to apply the patch for the DBInstance you are using.
2. Once you started using DBInstance, its your responsibility to upgrade the underline database engine
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4. Once the DBInstance is assigned and in use, it can not be upgraded and patches can not be applied.

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Explanation: Amazon Relational Database Service (Amazon RDS) is a web service that makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity, while managing time-consuming database administration tasks, freeing you up to focus on your applications and business.

Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle, SQL Server, or PostgreSQL database. This means that the code, applications, and tools you already use today with your existing databases should work seamlessly with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your relational database instance via a single API call or few clicks of the AWS Management Console. In addition, Amazon RDS makes it easy to use replication (currently supported for MySQL and Oracle database engines) to enhance database availability, improve data durability, or scale beyond the capacity constraints of a single database instance for read-heavy database workloads. As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use.

Question : Which of the following are the features of the Amazon RDS

1. Amazon RDS makes it easy to use replication
2. scale beyond the capacity constraints of a single database instance for read-heavy database workloads
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4. 1 and 3
5. 1,2 and 3

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Explanation: Amazon Relational Database Service (Amazon RDS) is a web service that makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity, while managing time-consuming database administration tasks, freeing you up to focus on your applications and business.

Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle, SQL Server, or PostgreSQL database. This means that the code, applications, and tools you already use today with your existing databases should work seamlessly with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your relational database instance via a single API call or few clicks of the AWS Management Console. In addition, Amazon RDS makes it easy to use replication (currently supported for MySQL and Oracle database engines) to enhance database availability, improve data durability, or scale beyond the capacity constraints of a single database instance for read-heavy database workloads. As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use.

Question : A meteorological system monitors temperature gauges, obtaining temperature
samples every minute and saving each sample to a DynamoDB table. Each sample
involves writing 1K of data and the writes are evenly distributed over time.
How much write throughput is required for the target table?

1. 1 write capacity unit
2. 10 write capacity units
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4. 600 write capacity units
5. 3600 write capacity units
Ans : 2
Exp : Provisioned Throughput in Amazon DynamoDB : When you create or update a table, you specify how much provisioned throughput capacity you want to reserve for reads and writes. DynamoDB will reserve the necessary machine resources to meet your throughput needs while ensuring consistent, low-latency performance. A unit of read capacity represents one strongly consistent read per second (or two eventually consistent reads per second) for items as large as 4 KB. A unit of write capacity represents one write per second for items as large as 1 KB. Items larger than 4 KB will require more than one read operation. The total number of read operations necessary is the item size, rounded up to the next multiple of 4 KB, divided by 4 KB. For example, to calculate the number of read operations for an item of 10 KB, you would round up to the next multiple of 4 KB (12 KB) and then divide by 4 KB, for 3 read operations.

The following table explains how to calculate the provisioned throughput capacity that you need.

Capacity Units Required For How to Calculate Reads Number of item reads per second * 4 KB item size
(If you use eventually consistent reads, you'll get twice as many reads per second.) Writes Number of item writes per second * 1 KB item size
If your application's read or write requests exceed the provisioned throughput for a table, then those requests might be throttled. You can use the AWS Management Console to monitor your provisioned and actual throughput and to change your provisioned capacity in anticipation of traffic changes.
Read Capacity Units If your items are smaller than 4 KB in size, each read capacity unit will give you one strongly consistent read per second, or two eventually consistent reads per second. You cannot group multiple items in a single read operation, even if the items together are 4 KB or smaller. For example, if your items are 3 KB and you want to read 80 items per second from your table, then you need to provision 80 (reads per second) * 1 (3 KB / 4 KB = 0.75, rounded up to the next whole number) = 80 read capacity units for strong consistency. For eventual consistency, you need to provision only 40 read capacity units.

If your items are larger than 4 KB, you will need to round up the item size to the next 4 KB boundary. For example, if your items are 6 KB and you want to do 100 strongly consistent reads per second, you need to provision 100 (reads per second) * 2 (6 KB / 4 KB = 1.5, rounded up to the next whole number) = 200 read capacity units. You can use the Query and Scan operations in DynamoDB to retrieve multiple consecutive items from a table or an index in a single request. With these operations, DynamoDB uses the cumulative size of the processed items to calculate provisioned throughput. For example, if a Query operation retrieves 100 items that are 1 KB each, the read capacity calculation is not (100 * 4 KB) = 100 read capacity units, as if those items were retrieved individually using GetItem or BatchGetItem. Instead, the total would be only 25 read capacity units ((100 * 1024 bytes) = 100 KB, which is then divided by 4 KB). For more information see Item Size Calculations.

Write Capacity Units : If your items are smaller than 1 KB in size, then each write capacity unit will give you 1 write per second. You cannot group multiple items in a single write operation, even if the items together are 1 KB or smaller. For example, if your items are 512 bytes and you want to write 100 items per second to your table, then you would need to provision 100 write capacity units.

If your items are larger than 1 KB in size, you will need to round the item size up to the next 1 KB boundary. For example, if your items are 1.5 KB and you want to do 10 writes per second, then you would need to provision 10 (writes per second) * 2 (1.5 KB rounded up to the next whole number) = 20 write capacity units.

Question :

Which of the functionality and tasks Amazon RDS manage on your behalf

1. provisioning the infrastructure capacity you request to installing the database software
2. performing backups and patching the database software that powers your DB Instance
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4. 1 and 3
5. 1,2 and 3

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Explanation: Amazon RDS manages the work involved in setting up a relational database, from provisioning the infrastructure capacity you request to installing the database software. Once your database is running on its own DB Instance, Amazon RDS automates common administrative tasks, such as performing backups and patching the database software that powers your DB Instance. For optional Multi AZ deployments (currently supported for MySQL and Oracle database engines), Amazon RDS also manages synchronous data replication across Availability Zones and automatic failover.

Since Amazon RDS provides native database access, you interact with the relational database software as you normally would. This means you are still responsible for managing the database settings that are specific to your application. You will need to build the relational schema that best fits your use case and are responsible for any performance tuning to optimize your database for your applications workflow.

AWS Certified Developer - Associate Questions and Answers (Dumps and Practice Questions)

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