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NEW QUESTION: 1
Examine the exhibit.

Which is true based on the information obtainable from the execution plan?
A. A full table scan on the DEPARTMENTS table performed serially by the query coordinator.
B. A full partition-wise join performed between the EMPLOYEES and DEPARTMENTS tables.
C. A full table scan on the DEPARTMENTS table is performed serially by a single parallel execution server process.
D. A partial partition-wise join performed between the EMPLOYEES and DEPARTMENTS tables.
E. A full table scan on the EMPLOYEES table is done in parallel.
Answer: E
Explanation:
PX BLOCK ITERATORThis operation is typically the first step in a parallel
pipeline. The BLOCK ITERATOR breaks up the table into chunks that are processed by
each of the parallel servers involved.
Incorrect:
B, C: The scan on the Departsments table is done in parallel.
Note:
*As per exhibit: Line 7 is run first, followed by line 6.
*Examplewith same structure of execution plan:

Here's how to read the plan:1. The first thing done is at line 9 - an index fast full scan on SYS.OBJ$.I_OBJ1 index. This is done in parallel, as indicated from the "PX SEND" line above.2. In line 8, we're doing a "PX SEND BROADCAST" operation. When joining tables in parallel, Oracle can choose to either broadcast results (rows) from one operation to apply to the other table scan, or it can choose PX SEND HASH. In this case, our CBO determined that a BROADCOAST was appropriate because the results from the OBJ$ table were much lower than the MYOBJ table3. Line 7, the PX RECEIVE step, is basically the consumer of the broadcasted rows in step 84. Line 6 is an in-memory BUFFER SORT of the rows returned from the index scan on OBJ$5. Lines 11 and 10, respectively, indicate the full scan and PX BOCK ITERATOR operation for the granules involved in the 8 PQ servers6. In line 5, Oracle is doing a hash join on the resulting rows from the parallel scans on MYOBJ and OBJ$7. Line 4 is a per-PQ server sort of data from the joind PQ servers8. Line 3 is the consumer QC that holds the result of the each of the PQ servers9. Line 2 is the PX Coordinator (QC) collecting, or consuming the rows of the joined data10. Line 1 is the final SORT AGGREGATE line that performs the grouping function

NEW QUESTION: 2
When designing service-oriented architectures, it is important to take the strategic goal of Increased Vendor Diversity Options into account, because this goal:
A. encourages you to retain the constant option to extend or replace parts of your service-oriented architectures with different vendor technologies or products, which fosters long-term flexibility
B. encourages you to bridge disparity between vendor platforms by using modern transformation technologies for long-term flexibility
C. encourages you to commit to one vendor platform and stick with that platform, which fosters long-term flexibility
D. encourages you to retain the constant option of using proprietary vendor features and extensions so that they can be entrenched into your service-oriented architectures for long-term flexibility
Answer: A

NEW QUESTION: 3

A. Option B
B. Option A
C. Option C
D. Option D
Answer: C
Explanation:
Explanation
When the idea comes for scalability then SQS is the best option. Normally DynamoDB is scalable, but since one is looking for a cost effective solution, the messaging in SQS can assist in managing the situation mentioned in the question.
Amazon Simple Queue Service (SQS) is a fully-managed message queuing service for reliably communicating among distributed software components and microservices - at any scale. Building applications from individual components that each perform a discrete function improves scalability and reliability, and is best practice design for modern applications. SQS makes it simple and cost-effective to decouple and coordinate the components of a cloud application. Using SQS, you can send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be always available For more information on SQS, please refer to the below URL:
* https://aws.amazon.com/sqs/