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NEW QUESTION: 1
DRAG DROP
You are analyzing the performance of a database environment.
Applications that access the database are experiencing locks that are held for a large amount of time. You are experiencing isolation phenomena such as dirty, nonrepeatable and phantom reads.
You need to identify the impact of specific transaction isolation levels on the concurrency and consistency of data.
What are the consistency and concurrency implications of each transaction isolation level? To answer, drag the appropriate isolation levels to the correct locations. Each isolation level 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.
Select and Place:

Answer:
Explanation:

Explanation/Reference:
Read Uncommitted (aka dirty read): A transaction T1executing 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 notguaranteed to be transactionally consistent.
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.
Repeatable Read: A transaction T1 executing under this isolation level can only access committed data with an additional guarantee that any data read cannot change (i.e. it is repeatable) for the duration of the transaction.
Pros: Higher data consistency.
Cons: Locking and blocking. The S locks are held for the duration of the transaction that can lower the concurrency. It does not protect against phantom rows.
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.
References:https://blogs.msdn.microsoft.com/sqlcat/2011/02/20/concurrency-series-basics-of-transaction- isolation-levels/

NEW QUESTION: 2
Note: This question is part of series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are designing an Azure solution for a company that has four departments. Each department will deploy several Azure app services and Azure SQL databases.
You need to recommend a solution to report the costs for each department to deploy the app services and the databases. The solution must provide a consolidated view for cost reporting.
Solution: Create a resources group for each resource type. Assign tags to each resource group.
Does this meet the goal?
A. No
B. Yes
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Tags enable you to retrieve related resources from different resource groups. This approach is helpful when you need to organize resources for billing or management.
References:
https://docs.microsoft.com/en-us/azure/azure-resource-manager/resource-group-using-tags

NEW QUESTION: 3
Which are different processing options in the worklist:
A. QM-relevant settings for task list headers
B. General settings for task list header
C. Details for task list header
D. Administrative data for task list headers.
Answer: C