What should a database specialist do to accommodate the changing requirements for DAX?

Explanations:

Increasing the number of nodes in the existing DAX cluster may not fully address the growing cache miss rate, especially if the node type is inadequate for the growing demand. A more scalable solution may require a different approach, such as changing the node type or using a larger node.

Creating a new DAX cluster with more nodes and changing the DAX endpoint may help scale the cache but is unnecessary and overly complex if the issue can be addressed by scaling up the existing cluster or node type.

Creating a new DAX cluster with a larger node type and changing the DAX endpoint is an appropriate solution, as it provides more cache capacity and performance for the increasing number of popular products while reducing cache misses.

Modifying the node type in the existing DAX cluster is a more effective solution than simply adding more nodes but it doesn’t address the issue of scaling across multiple clusters for large-scale requirements. A larger node type may be a better choice for growing demand.