1. Right Answer: C
Explanation: Amazon quick look fast cloud-driven business intelligence services, which makes it easy to build a visualization. perform ad-hoc analysis. and quickly get your business idea from your data. With our cloud-service customers to easily connect to the data, perform advanced analysis and create stunning visual images, and rich dashboards that can be accessed from any browser or mobile device.
2. Right Answer: E
Explanation: According to the Index questions that reads an attribute that can not be projected at the local secondary index. DynamoDB should receive these attributes from the underlying table. In addition to reading the index is computed attributes. These downloads occur when you include some irregular attributes in the SELECT, or the parameters of the projector expression in the query operation. The sample is an additional delay in the response. and it also means a higher bandwidth feed charge. In addition to reading from a local secondary index, as described above, you will be charged in a matter of a unit of power for each base table after checked out. This fee is to read each entire objects from the table, not only the necessary attributes.
3. Right Answer: C
Explanation: Every local secondary indexes must satisfy the following conditions: the key section is the same as the underlying table. sort key consists of exactly one scalar attributes. The key collation table base projected into the index, where it acts as a non-key attributes,
4. Right Answer: A
Explanation: The following is true when it comes to using EBS volumes [MR cluster 1) volumes of Amazon's EBS attached to [MR cluster is short-lived: the volume cleared of cluster and copy finishing 2) you can not Γ Γ , ΓΒ¬ UT moment EBS volume, and then restore it in the Amazon EMR 3) encrypted root EBS storage volume is supported only by using user AMP 4) Amazon EMR automatically attaches Purpose SSD Amazon EBS General (GP2) root device 0 GB volume for its weight to improve performance.
5. Right Answer: C
Explanation: AWS documents mentions after each DB Instance, Amazon Aurora DB cluster using SSD local storage for storing temporary tables for the session. This local storage for temporary tables is not automatically grow as the volume of Aurora rags. Instead, a limited amount of local memory. The limit on the basis of the database instance DASS the DB instances in the cluster. If the load can not be changed to reduce the number of temporary storage is required, you can scale DB Instances using the instance DB wing, which has a local SSD storage.
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