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NEW QUESTION: 1

A. Option C
B. Option D
C. Option B
D. Option A
Answer: A
Explanation:
Reference:http://www.tud.ttu.ee/material/enn/IDU0010/Loeng3Sure_Step/80199A_ENUS_ ERP/80199A_ENUS_ERP/80199_ENUS_ERP_01.pdf(page 5)

NEW QUESTION: 2
DRAG DROP
You are evaluating the performance of a database environment.
You must avoid unnecessary locks and ensure that lost updates do not occur.
You need to choose the transaction isolation level for each data scenario.
Which isolation level should you use for each scenario? To answer, drag the appropriate isolation levels to the correct scenarios. Each isolation may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

Answer:
Explanation:

Box 1: Readcommitted
Read Committed: A transaction T1 executing under this isolation level can only access committed data.
Pros: Good compromise between concurrency and consistency.
Cons: Locking and blocking. The data can change when accessed multiple times within the same transaction.
Box 2: Read Uncommitted
Read Uncommitted (aka dirty read): A transaction T1 executing under this isolation level can access data changed by concurrent transaction(s).
Pros: No read locks needed to read data (i.e. no reader/writer blocking). Note, T1 still takes transaction duration locks for any data modified.
Cons: Data is not guaranteed to be transactionally consistent.
Box 3: Serializable
Serializable: A transaction T1 executing under this isolation level provides the highest data consistency including elimination of phantoms but at the cost of reduced concurrency. It prevents phantoms by taking a range lock or table level lock if range lock can't be acquired (i.e. no index on the predicate column) for the duration of the transaction.
Pros: Full data consistency including phantom protection.
Cons: Locking and blocking. The S locks are held for the duration of the transaction that can lower the concurrency.
https://blogs.msdn.microsoft.com/sqlcat/2011/02/20/concurrency-series-basics-of- References:
transaction-isolation-levels/

NEW QUESTION: 3
A client wants to create a scalable set of microservices that communicate with each other, where multiple microservices have a public REST API.
Which architecture strategy allows this on Heroku?
A. Each microservice is a separate private space. The microservices communicate by using DNS Service Discovery.
B. Each microservice is a separate process in a single Heroku app. The microservices communicate by using shared memory.
C. Each microservice is a separate Heroku app. The microservices communicate by using Apache Kafka as a message bus.
D. Each microservice is a separate process type in a single Heroku app. The microservices communicate by using Redis as a message bus.
Answer: A
Explanation:
Explanation
- httDs://devcenterheroku.com/artJcles/event-driven-microservices-with-aDache-kafka