Question 4Amazon DynamoDB is designed for scale and performance. In most cases, the DynamoDB response times can be measured in single-digit milliseconds. However, there are certain use cases that require response times in microseconds. For these use cases, DynamoDB Accelerator (DAX) delivers fast response times for accessing eventually consistent data. Which statements about DAX are correct? (Choose THREE.)1 pointDAX reduces operational and application complexity by providing a managed service that is compatible with the DynamoDB API.Although using DAX has a cost, it can reduce the consumption of DynamoDB table capacity. If the data is read intensive (that is, millions of requests per second), DAX can result in cost savings by caching the data while also providing better read latency, being beneficial for scenarios in need of repeated reads for individual keys.DAX does not support server-side encryption (SSE).DAX is not designed for applications that are write-intensive. It can also add cost to applications that do not perform much read activity.DAX does not support encrypting data in transit, which means that communication between an application and DAX cannot be encrypted.
Question
Question 4Amazon DynamoDB is designed for scale and performance. In most cases, the DynamoDB response times can be measured in single-digit milliseconds. However, there are certain use cases that require response times in microseconds. For these use cases, DynamoDB Accelerator (DAX) delivers fast response times for accessing eventually consistent data. Which statements about DAX are correct? (Choose THREE.)1 pointDAX reduces operational and application complexity by providing a managed service that is compatible with the DynamoDB API.Although using DAX has a cost, it can reduce the consumption of DynamoDB table capacity. If the data is read intensive (that is, millions of requests per second), DAX can result in cost savings by caching the data while also providing better read latency, being beneficial for scenarios in need of repeated reads for individual keys.DAX does not support server-side encryption (SSE).DAX is not designed for applications that are write-intensive. It can also add cost to applications that do not perform much read activity.DAX does not support encrypting data in transit, which means that communication between an application and DAX cannot be encrypted.
Solution
The correct statements about DAX (DynamoDB Accelerator) are:
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DAX reduces operational and application complexity by providing a managed service that is compatible with the DynamoDB API. This is true because DAX is a fully managed, highly available, in-memory cache for DynamoDB that delivers up to a 10x performance improvement – from milliseconds to microseconds – even at millions of requests per second.
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Although using DAX has a cost, it can reduce the consumption of DynamoDB table capacity. If the data is read intensive (that is, millions of requests per second), DAX can result in cost savings by caching the data while also providing better read latency, being beneficial for scenarios in need of repeated reads for individual keys. This is true because DAX does all the heavy lifting to deliver accelerated read performance.
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DAX is not designed for applications that are write-intensive. It can also add cost to applications that do not perform much read activity. This is true because DAX is designed to benefit read-intensive applications, and may not provide significant benefits for write-intensive applications.
The statements that DAX does not support server-side encryption (SSE) and DAX does not support encrypting data in transit are incorrect. DAX does support both server-side encryption and in-transit encryption.
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