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時間とお金の集まりより正しい方法がもっと大切です。AmazonのAWS-Developer日本語関連対策試験のために勉強していますなら、Shobhadoshiの提供するAmazonのAWS-Developer日本語関連対策試験ソフトはあなたの選びの最高です。我々の目的はあなたにAmazonのAWS-Developer日本語関連対策試験に合格することだけです。

Amazon AWS-Developer日本語関連対策 - それは確かに君の試験に役に立つとみられます。

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が、サイトに相関する依頼できる保証が何一つありません。ここで私が言いたいのはShobhadoshiのコアバリューです。

AWS-Developer PDF DEMO:

QUESTION NO: 1
Company C has recently launched an online commerce site for bicycles on AWS. They have a
"Product" DynamoDB table that stores details for each bicycle, such as, manufacturer, color, price, quantity and size to display in the online store. Due to customer demand, they want to include an image for each bicycle along with the existing details.
Which approach below provides the least impact to provisioned throughput on the "Product" table?
A. Serialize the image and store it in multiple DynamoDB tables
B. Create an "Images" DynamoDB table to store the Image with a foreign key constraint to the
"Product" table
C. Store the images in Amazon S3 and add an S3 URL pointer to the "Product" table item for each image
D. Add an image data type to the "Product" table to store the images in binary format
Answer: C

QUESTION NO: 2
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.

QUESTION NO: 3
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: 4
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: 5
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

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Updated: May 28, 2022