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NEW QUESTION: 1
What is the purpose of LCP?
A. to encapsulate multiple protocols
B. to specify asynchronous versus synchronous
C. to perform authentication
D. to negotiate control options
Answer: D
Explanation:
In order to be sufficiently versatile to be portable to a wide variety of environments, PPP provides a Link Control Protocol (LCP). The LCP is used to automatically agree upon the encapsulation format options, handle varying limits on sizes of packets, detect a looped-back link and other common misconfiguration errors, and terminate the link. Other optional facilities provided are authentication of the identity of its peer on the link, and determination when a link is functioning properly and when it is failing.
Reference: Link Control Protocol
http://www.ietf.org/rfc/rfc1661.txt
NEW QUESTION: 2
Which three statements are true about using flashback database in a multitenant container database (CDB)?
A. The DB_FLASHBACK RETENTION_TARGET parameter must be set to enable
flashback of the CDB.
B. The root container can be flashed back without flashing back the pluggable databases
(PDBs).
C. To enable flashback database, the CDB must be mounted.
D. A CDB can be flashed back specifying the desired target point in time or an SCN, but not a restore point.
E. Individual PDBs can be flashed back without flashing back the entire CDB.
Answer: A,C,D
NEW QUESTION: 3
Which of the following is the most efficient way to automate the encryption of AWS CloudTrail logs using a Customer Master Key (CMK) in AWS KMS?
A. Use the default Amazon S3 server-side encryption with S3-managed keys to encrypt and decrypt the CloudTrail logs.
B. Use encrypted API endpoints so that all AWS API calls generate encrypted CloudTrail log entries using the TLS certificate from the encrypted API call.
C. Use the KMS direct encrypt function on the log data every time a CloudTrail log is generated.
D. Configure CloudTrail to use server-side encryption using KMS-managed keys to encrypt and decrypt CloudTrail logs.
Answer: D
NEW QUESTION: 4
Note: This question is part of a 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 sections, you will NOT be able to return to it. As a result, these
questions will not appear in the review screen.
You have a data warehouse that stored sales data. One fact table has 100 million rows.
You must reduce storage needs for the data warehouse.
You need to implement a solution that uses column-based storage and provides real-time analytics for the
operational workload.
Solution: You remove all clustered indexes, sort the transactions in the table, and create a clustered index
on the table, so that the table is not a heap.
Does the solution meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Explanation/Reference:
Explanation:
You should use a column-store index, not a clustered index.
Note: Columnstore indexes are the standard for storing and querying large data warehousing fact tables. It
uses column-based data storage and query processing to achieve up to 10x query performance gains in
your data warehouse over traditional row-oriented storage, and up to 10x data compression over the
uncompressed data size.
In SQL Server, rowstore refers to table where the underlying data storage format is a heap, a clustered
index, or a memory-optimized table.
References:
https://docs.microsoft.com/en-us/sql/relational-databases/indexes/columnstore-indexes-overview