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NEW QUESTION: 1
Which three file actions can execute as you write a file into HDFS?
A. You can rename the file
B. You can move the file
C. You can index the file
D. You can delete the file
E. You can update the files contents
Answer: A,B,D
Explanation:
CD: When a file is deleted by a user or an application, it is not immediately removed from HDFS. Instead, HDFS first renames it to a file in the /trash directory. The file can be restored quickly as long as it remains in /trash. A file remains in /trash for a configurable amount of time. After the expiry of its life in /trash, the NameNode deletes the file from the HDFS namespace. The deletion of a file causes the blocks associated with the file to be freed. Note that there could be an appreciable time delay between the time a file is deleted by a user and the time of the corresponding increase in free space in HDFS.
DE: fsck Runs a HDFS filesystem checking utility. COMMAND_OPTION include: * -move Move corrupted files to /lost+found * -delete Delete corrupted files.
NEW QUESTION: 2
A company running an on-premises application is migrating the application to AWS to increase its elasticity and availability. The current architecture uses a Microsoft SQL Server database with heavy read activity. The company wants to explore alternate database options and migrate database engines, if needed. Every 4 hours, the development team does a full copy of the production database to populate a test database. During this period, users experience latency.
What should a solution architect recommend as replacement database?
A. Use Amazon RDS for SQL Server with a Multi-AZ deployment and read replicas, and restore snapshots from RDS for the test database.
B. Use Amazon RDS for MySQL with a Multi-AZ deployment and read replicas, and use the standby instance for the test database.
C. Use Amazon Aurora with Multi-AZ Aurora Replicas and restore snapshots from Amazon RDS for the test database.
D. Use Amazon Aurora with Multi-AZ Aurora Replicas and restore from mysqldump for the test database.
Answer: D
NEW QUESTION: 3
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 section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You configure a new matching policy Master Data Services (MDS) as shown in the following exhibit.
You review the Matching Results of the policy and find that the number of new values matches the new values.
You verify that the data contains multiple records that have similar address values, and you expect some of the records to match.
You need to increase the likelihood that the records will match when they have similar address values.
Solution: You increase the relative weights for Address Line 1 of the matching policy.
Does this meet the goal?
A. NO
B. Yes
Answer: A
Explanation:
Explanation
Decrease the Min. matching score.
A data matching project consists of a computer-assisted process and an interactive process. The matching project applies the matching rules in the matching policy to the data source to be assessed. This process assesses the likelihood that any two rows are matches in a matching score. Only those records with a probability of a match greater than a value set by the data steward in the matching policy will be considered a match.
References: https://docs.microsoft.com/en-us/sql/data-quality-services/data-matching