Which of the following statements regarding Amazon Athena are accurate? Select TWO.
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A. B. C. D. E.Correct Answer - A, D.
Amazon Athena a serverless query service that does not need to build databases on dedicated Elastic Block Store (EBS) volumes.
Instead, it builds tables from data read directly from Amazon S3 buckets.
Amazon Athena does not store any of the data.
The service is compatible with the regular data formats that include CSV, JSON, ORC, AVRO and Parquet.
https://docs.aws.amazon.com/athena/latest/ug/what-is.htmlOption B is incorrect because Amazon Athena can query Big Data, complex analysis such as large joins, window functions and arrays.
Option C is incorrect because Amazon Athena is serverless.
Thus the service scales following the resource demands.
No prior resource planning is necessary.
Option E is incorrect because Amazon Athena uses SQL only.
Sure, I'd be happy to provide a detailed explanation for you.
Amazon Athena is a serverless, interactive query service that enables users to analyze data directly in Amazon S3 using SQL. Here are the correct statements regarding Amazon Athena:
A. Amazon Athena queries data directly from Amazon S3 and there are no additional data storage commitments beyond the object storage.
This statement is accurate. Amazon Athena is a serverless service, which means that there are no servers to manage and no infrastructure to provision. Amazon Athena queries data directly from Amazon S3, which means that there are no additional data storage commitments beyond the object storage.
B. Amazon Athena is not suitable for complex analysis such as large joins, window functions and arrays.
This statement is incorrect. Amazon Athena is capable of handling complex analysis, such as large joins, window functions, and arrays. Amazon Athena is based on Presto, which is a distributed SQL query engine. Presto was designed to be scalable and to handle large datasets, so Amazon Athena inherits those capabilities.
C. Amazon Athena resources are allocated in accordance to processing and memory requirements prior to deployment.
This statement is incorrect. Amazon Athena is a serverless service, which means that there are no servers to manage and no infrastructure to provision. Users do not need to allocate resources in advance or worry about scaling their clusters. Amazon Athena automatically scales resources up or down based on the volume of data being processed.
D. Amazon Athena is compatible with data formats such as CSV, JSON, ORC, AVRO and Parquet.
This statement is accurate. Amazon Athena is compatible with a variety of data formats, including CSV, JSON, ORC, AVRO, and Parquet. Users can create tables in Athena that point to data stored in S3 in any of these formats, and then query that data using SQL.
E. Amazon Athena uses a variety of query languages including SQL, LDAP, JPQL as well as CQL.
This statement is incorrect. Amazon Athena uses only SQL as its query language. It does not support LDAP, JPQL, or CQL.
In summary, the two accurate statements regarding Amazon Athena are: