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NEW QUESTION: 1
What character encoding does SAP SuccessFactors support for the user connector?
A. UTF-8
B. ASCII
C. USC-2
D. ANSI
Answer: A
NEW QUESTION: 2
How is Oracle Loader for Hadoop (OLH) better than Apache Sqoop?
A. OLH performs a great deal of preprocessing of the data on Hadoop before loading it into the database.
B. OLH performs a great deal of preprocessing of the data on the Oracle database before loading it into NoSQL.
C. OLH does not use MapReduce to process any of the data, thereby increasing performance.
D. OLH performs a great deal of preprocessing of the data on the Oracle database before loading it into Hadoop.
E. OLH is fully supported on the Big Data Appliance. Apache Sqoop is not supported on the Big Data Appliance.
Answer: A
Explanation:
Oracle Loader for Hadoop provides an efficient and high-performance loader for fast movement of data from a Hadoop cluster into a table in an Oracle database. Oracle Loader for Hadoop prepartitions the data if necessary and transforms it into a database-ready format. It optionally sorts records by primary key or user-defined columns before loading the data or creating output files.
Note: Apache Sqoop(TM) is a tool designed for efficiently transferring bulk data between
Apache Hadoop and structured datastores such as relational databases.
NEW QUESTION: 3
A retail company runs hourly flash sales and has a performance issue on its Amazon RDS for PostgreSQL database. The Database Administrators have identified that the issue with performance happens when finance and marketing employees refresh sales dashboards that are used for reporting real-time sales data.
What should be done to resolve the issue without impacting performance?
A. Move data from the RDS PostgreSQL database to Amazon Redshift nightly and point the dashboards at Amazon Redshift.
B. Take an hourly snapshot of the RDS PostgreSQL database, and load the hourly snapshots to another database to which the dashboards are pointed.
C. Create a Read Replica of the RDS PostgreSQL database and point the dashboards at the Read Replica.
D. Monitor the database with Amazon CloudWatch and increase the instance size, as necessary.
Make no changes to the dashboards.
Answer: C
NEW QUESTION: 4
Examine this command:
SQL > exec DBMS_STATS.SET_TABLE_PREFS ('SH', 'CUSTOMERS', 'PUBLISH', 'false');
Which three statements are true about the effect of this command?
A. Any existing statistics for the CUSTOMERS table are still available to the optimizer at parse time.
B. Statistics collection is not done for the CUSTOMERS table when database stats are gathered.
C. Statistics gathered on the CUSTOMERS table when database stats are gathered are stored as pending statistics.
D. Statistics gathered on the CUSTOMERS table when schema stats are gathered are stored as pending statistics.
E. Statistics collection is not done for the CUSTOMERS table when schema stats are gathered.
Answer: A,D,E
Explanation:
*SET_TABLE_PREFS Procedure
This procedure is used to set the statistics preferences of the specified table in the specified schema.
*Example:
Using Pending Statistics
Assume many modifications have been made to the employees table since the last time statistics were gathered. To ensure that the cost-based optimizer is still picking the best plan, statistics should be gathered once again; however, the user is concerned that new statistics will cause the optimizer to choose bad plans when the current ones are
acceptable. The user can do the following:
EXEC DBMS_STATS.SET_TABLE_PREFS('hr', 'employees', 'PUBLISH', 'false');
By setting the employees tables publish preference to FALSE, any statistics gather from now on will not be automatically published. The newly gathered statistics will be marked as pending.
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