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NEW QUESTION: 1
A security engineer is setting up passwordless authentication for the first time.
INSTRUCTIONS
Use the minimum set of commands to set this up and verify that it works. Commands cannot be reused.
If at any time you would like to bring back the initial state of the simulation, please click the Reset All button.
Answer:
Explanation:
NEW QUESTION: 2
Regarding VRRP messages, what are the following statements correct?
A. VRRP uses TCP packets.
B. The destination address of the C VRRP packet is 224.0.0.18.
C. The TTL value of the D VRRP packet is 255.
.
D. VRRP uses UDP packets.
Answer: B,C
NEW QUESTION: 3
The primary reason that a chief audit executive (CAE) reviews external audit management letters and management response is to:
A. Select areas to emphasize in future internal audit engagements.
B. Check the effectiveness of external audit resources used.
C. Ensure that comments in the letter are supported by evidence.
D. Verify that there has been no duplication of internal audit work.
Answer: A
NEW QUESTION: 4
A. Option B
B. Option A
Answer: A
Explanation:
Clustered columnstore tables offer both the highest level of data compression as well as the best overall query performance. Clustered columnstore tables will generally outperform clustered index or heap tables and are usually the best choice for large tables. For these reasons, clustered columnstore is the best place to start when you are unsure of how to index your table.
Note: Dimensional tables can be used to reduce the size of fact tables.
Dimension tables contain attribute data that might change but usually changes infrequently.
For example, a customer's name and address are stored in a dimension table and updated only when the customer's profile changes. To minimize the size of a large fact table, the customer's name and address do not need to be in every row of a fact table. Instead, the fact table and the dimension table can share a customer ID. A query can join the two tables to associate a customer's profile and transactions.
References: https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data- warehouse-tables-overview