Amazon AWS-CERTIFIED-BIG-DATA-SPECIALTY AWS-Certified-Big-Data-Specialty Dumps in PDF

Free Amazon AWS-Certified-Big-Data-Specialty Real Questions (page: 1)

In regard to DynamoDB, when you create a table with a hash-and-range key

  1. You can optionally define one or more secondary indexes on that table
  2. You must define one or more secondary indexes on that table
  3. You must define one or more Global secondary indexes on that table
  4. You must define one or more Local secondary indexes on that table

Answer(s): A

Explanation:

When you create a table with a hash-and-range key, you can optionally define one or more secondary indexes on that table. A secondary index lets you query the data in the table using an alternate key, in addition to queries against the primary key.


Reference:

http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/DataModel.html



Amazon DynamoDB supports these scalar data types: .

  1. Number and String
  2. Number and Binary
  3. Number, String, and Binary
  4. Number, String, Binary and Datetime

Answer(s): C

Explanation:

Amazon DynamoDB supports three scalar data types: Number, String, and Binary. Additionally, Amazon DynamoDB supports multi-valued types: Number Set, String Set, and Binary Set.


Reference:

http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/SecondaryIndexes.html



True or false: In DynamoDB, it is up to you to manage the partitioning and re-partitioning of your data over additional DynamoDB tables if you need additional scale.

  1. True, It is optional to re-partition by yourself or automatically.
  2. False, DynamoDB automatically partitions your data and workload.
  3. False, the table size is fixed and you cannot re-partition it.
  4. True, AWS DynamoDB does automatic partitioning and SSD technologies to meet your throughput requirements and deliver low latencies at any scale.

Answer(s): B

Explanation:

Amazon DynamoDB automatically partitions your data and workload over a sufficient number of servers to meet the scale requirements you provide.


Reference:

https://aws.amazon.com/dynamodb/faqs/



Complete this statement: "When you load your table directly from an Amazon table, you have the option to control the amount of provisioned throughput you consume."

  1. DataPipeline
  2. S3
  3. DynamoDB
  4. RDS

Answer(s): C

Explanation:

When you load your table directly from an Amazon DynamoDB table, you have the option to control the amount of Amazon DynamoDB provisioned throughput you consume.


Reference:

http://docs.aws.amazon.com/redshift/latest/dg/t_Loading_tables_with_the_COPY_command.html



In DynamoDB, which of the following operations is not possible by the console?

  1. Copying an item
  2. Updating an item
  3. Deleting an item
  4. Blocking an item

Answer(s): D

Explanation:

By using the console to manage DynamoDB, you can perform the following: adding an item, deleting an item, updating an item, and copying an item.


Reference:

http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/AddUpdateDeleteItems.html



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