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NEW QUESTION: 1
A user is trying to understand the detailed CloudWatch monitoring concept. Which of the below mentioned services does not provide detailed monitoring with CloudWatch?
A. AWS RDS
B. AWS ELB
C. AWS Route53
D. AWS EMR
Answer: D
Explanation:
CloudWatch is used to monitor AWS as well as the custom services. It provides either basic or detailed monitoring for the supported AWS products. In basic monitoring, a service sends data points to CloudWatch every five minutes, while in detailed monitoring a service sends data points to CloudWatch every minute. Services, such as RDS, EC2, Auto Scaling, ELB, and Route 53 can provide the monitoring data every minute.
NEW QUESTION: 2
Which process will regularly analyze incident data to identify discernible trends?
A. Event management
B. Service level management
C. Change management
D. Problem management
Answer: D
NEW QUESTION: 3
A table in one ofi your database schemas contains only varchar, number, and date data types fior the columns.
Which three operations can be offloaded to the Exadata storage servers when doing a smart scan against this table, ifi
no other situations arise that prevent Smart Scan firom occurring?
A. Virtual column filtering
B. Nested loop Join filtering
C. Column filtering
D. Predicate filtering
E. Hash join filtering
F. Sort merge join filtering
Answer: C,D,E
Explanation:
A: Smart Scan Column Filtering
Exadata provides column filtering, also called column projection, fior table scans. Only the columns requested are
returned to the database server rather than all columns in a table. For example, when the fiollowing SQL is issued, only
the employee_name and employee_number columns are returned firom Exadata to the database kernel.
SELECT employee_name, employee_number FROM employee_table.
For tables with many columns, or columns containing LOBs (Large Objects), the I/O bandwidth saved can be very
large. Using both predicate and column filtering dramatically improves perfiormance and reduces I/O bandwidth
consumption. In addition, column filtering also applies to indexes, allowing fior even fiaster query perfiormance.
C: Smart Scan Predicate Filtering
Exadata enables predicate filtering fior table scans. Only the rows requested are returned to the database server
rather than all rows in a table. For example, when the fiollowing SQL is issued only rows where the employees' hire
date is after the specified date are sent firom Exadata to the database instance.
SELECT * FROM employee_table WHERE hire_date > '1-Jan-2003'.
This ability to return only relevant rows to the server greatly improves database perfiormance. This perfiormance
enhancement also applies as queries become more complicated, so the same benefits also apply to complex queries,
including those with subqueries.