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You need to explain to a team member the difference between TempDB and inMemory table types. In which three ways do TempDB table types differ from InMemory table types for reporting? Each correct answer presents part of the solution.
Correct Answer: A,C,E
Recent Comments (The most recent comments are at the top.)
Amber - Dec 17, 2018
I believe B C and D are correct. It seems like most of your answers are wrong on this site. Is this purposeful? These answers are incorrect. From Microsoft, here is the difference between TempDB and InMemory tables:
Temp DB tables have a persistent schema in the database, but they are configured to delete table data when references to the table go out of scope. In contrast, in-memory tables do not exist in the database by default and is instead held in the memory until the size reaches 128 kilobytes. In-memory tables cease to exist when references to the table go out of scope. An important thing to remember about in-memory tables is that once the table size exceeds 128 kilobytes, the system begins to allocate additional space between the RAM and disk space, which can cause performance to suffer. Because of this, it is recommended to use temp DB tables to handle larger temporary datasets.
Recent Comments (The most recent comments are at the top.)
I believe B C and D are correct. It seems like most of your answers are wrong on this site. Is this purposeful?
These answers are incorrect. From Microsoft, here is the difference between TempDB and InMemory tables:
Temp DB tables have a persistent schema in the database, but they are configured to delete table data when references to the table go out of scope. In contrast, in-memory tables do not exist in the database by default and is instead held in the memory until the size reaches 128 kilobytes. In-memory tables cease to exist when references to the table go out of scope. An important thing to remember about in-memory tables is that once the table size exceeds 128 kilobytes, the system begins to allocate additional space between the RAM and disk space, which can cause performance to suffer. Because of this, it is recommended to use temp DB tables to handle larger temporary datasets.