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AWS-Developer Test Cram Sheet & AWS-Developer Reliable Exam Pattern - New AWS-Developer Exam Sample Questions - Royalholidayclubbed
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AWS-Developer PDF DEMO:
QUESTION NO: 1
A Developer needs to deploy an application running on AWS Fargate using Amazon ECS. The application has environment variables that must be passed to a container tor the application to initialize How should the environment variables be passed to the container?
A. Define in array that includes the environment variables under the entryPoint parameter within the service definition
B. Define an array that includes the environment variables under the environment parameter within the task definition
C. Define an array that includes the environment variables under the environment parameter within the service definition
D. Define an array that includes the environment variables under the entrypoint parameter within the task definition
Answer: B
QUESTION NO: 2
EC2 instances are launched from Amazon Machine images (AMIs). A given public AMI can:
A. only be used to launch EC2 instances in the same country as the AMI is stored.
B. only be used to launch EC2 instances in the same AWS availability zone as the AMI is stored
C. only be used to launch EC2 instances in the same AWS region as the AMI is stored.
D. be used to launch EC2 Instances in any AWS region.
Answer: C
QUESTION NO: 3
In a move toward using microservices, a company's Management team has asked all
Development teams to build their services so that API requests depend only on that service's data store. One team is building a Payments service which has its own database; the service needs data that originates in the Accounts database.
Both are using Amazon DynamoDB.
What approach will result in the simplest, decoupled, and reliable method to get near-real time updates from the Accounts database?
A. Use Amazon ElastiCache in Payments, with the cache updated by triggers in the Accounts database.
B. Use Amazon DynamoDB Streams to deliver all changes from the Accounts database to the
Payments database.
C. Use Amazon Kinesis Data Firehouse to deliver all changes from the Accounts database to the
Payments database.
D. Use Amazon Glue to perform frequent ETL updates from the Accounts database to the Payments database.
Answer: B
QUESTION NO: 4
A Developer is writing a mobile application that allows users to view images from an S3 bucket. The users must be able to log in with their Amazon login, as well as Facebook and/or Google accounts.
How can the Developer provide this authentication functionality?
A. Use Amazon Cognito with web identity federation.
B. Use AWS IAM Access/Secret keys in the application code to allow Get* on the S3 bucket.
C. Use Amazon Cognito with SAML-based identity federation.
D. Use AWS STS AssumeRole in the application code and assume a role with Get* permissions on the
S3 bucket.
Answer: A
QUESTION NO: 5
A Developer is working on an application that tracks hundreds of millions of product reviews in an Amazon DynamoDB table. The records include the data elements shown in the table:
Which field, when used as the partition key, would result in the MOST consistent performance using
DynamoDB?
A. starRating
B. reviewID
C. comment
D. productID
Answer: D
Explanation
Refer AWS documentation - DynamoDB Design partition key
The partition key portion of a table s primary key determines the logical partitions in which a table's data is stored. This in turn affects the underlying physical partitions. Provisioned I/O capacity for the table is divided evenly among these physical partitions. Therefore a partition key design that doesn't distribute I/O requests evenly can create "hot" partitions that result in throttling and use your provisioned I/O capacity inefficiently.
The optimal usage of a table's provisioned throughput depends not only on the workload patterns of individual items, but also on the partition-key design. This doesn't mean that you must access all partition key values to achieve an efficient throughput level, or even that the percentage of accessed partition key values must be high. It does mean that the more distinct partition key values that your workload accesses, the more those requests will be spread across the partitioned space. In general, you will use your provisioned throughput more efficiently as the ratio of partition key values accessed to the total number of partition key values increases.
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Updated: May 28, 2022
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