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NEW QUESTION: 1
You want to capture column group usage and gather extended statistics for better cardinality estimates for the CUSTOMERS table in the SH schema.
Examine the following steps:
1. Issue the SELECT DBMS_STATS.CREATE_EXTENDED_STATS ('SH', 'CUSTOMERS') FROMdual statement.
2. Execute the DBMS_STATS.SEED_COL_USAGE (null, 'SH', 500)procedure.
3. Execute the required queries on the CUSTOMERStable.
4. Issue the SELECT DBMS_STATS.REPORT_COL_USAGE ('SH', 'CUSTOMERS') FROMdual statement.
Identify the correct sequence of steps.
A. 3, 2, 1, 4
B. 4, 1, 3, 2
C. 3, 2, 4, 1
D. 2, 3, 4, 1
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Step 1 (2). Seed column usage
Oracle must observe a representative workload, in order to determine the appropriate column groups.
Using the new procedure DBMS_STATS.SEED_COL_USAGE, you tell Oracle how long it should observe the workload.
Step 2: (3) You don't need to execute all of the queries in your work during this window. You can simply run explain plan for some of your longer running queries to ensure column group information is recorded for these queries.
Step 3. (1) Create the column groups
At this point you can get Oracle to automatically create the column groups for each of the tables based on the usage information captured during the monitoring window. You simply have to call the DBMS_STATS.CREATE_EXTENDED_STATS function for each table.This function requires just two arguments, the schema name and the table name. From then on, statistics will be maintained for each column group whenever statistics are gathered on the table.
Note:
* DBMS_STATS.REPORT_COL_USAGE reports column usage information and records all the SQL operations the database has processed for a given object.
* The Oracle SQL optimizer has always been ignorant of the implied relationships between data columns within the same table. While the optimizer has traditionally analyzed the distribution of values within a column, he does not collect value-based relationships between columns.
* Creating extended statisticsHere are the steps to create extended statistics for related table columns withdbms_stats.created_extended_stats:
1 - The first step is to create column histograms for the related columns.2 - Next, we run dbms_stats.create_extended_stats to relate the columns together.
Unlike a traditional procedure that is invoked via an execute ("exec") statement, Oracle extended statistics are created via a select statement.

NEW QUESTION: 2
Your client application submits a MapReduce job to your Hadoop cluster. The Hadoop framework looks for an available slot to schedule the MapReduce operations on which of the following Hadoop computing daemons?
A. TaskTracker
B. JobTracker
C. NameNode
D. DataNode
E. Secondary NameNode
Answer: B
Explanation:
JobTracker is the daemon service for submitting and tracking MapReduce jobs in
Hadoop. There is only One Job Tracker process run on any hadoop cluster. Job Tracker runs on
its own JVM process. In a typical production cluster its run on a separate machine. Each slave
node is configured with job tracker node location. The JobTracker is single point of failure for the
Hadoop MapReduce service. If it goes down, all running jobs are halted. JobTracker in Hadoop
performs following actions(from Hadoop Wiki:)
Client applications submit jobs to the Job tracker.
The JobTracker talks to the NameNode to determine the location of the data
The JobTracker locates TaskTracker nodes with available slots at or near the data
The JobTracker submits the work to the chosen TaskTracker nodes.
The TaskTracker nodes are monitored. If they do not submit heartbeat signals often enough, they
are deemed to have failed and the work is scheduled on a different TaskTracker.
A TaskTracker will notify the JobTracker when a task fails. The JobTracker decides what to do
then: it may resubmit the job elsewhere, it may mark that specific record as something to avoid,
and it may may even blacklist the TaskTracker as unreliable.
When the work is completed, the JobTracker updates its status.
Client applications can poll the JobTracker for information.
Reference:24 Interview Questions & Answers for Hadoop MapReduce developers,What is a
JobTracker in Hadoop? How many instances of JobTracker run on a Hadoop Cluster?

NEW QUESTION: 3
An engineer needs to connect ports 49 and 53 on an MXL to a top of rack (ToR) switch in an LACP port channel. The ToR switch has ports 46 and 60 configured in port channel 100.
Which configuration will successfully bring up the port channel on the MXL?
A. interface Port-channel 100
channel member fortyGigE 0/49, fortyGigE 0/53
switchport
interface range fortyGigE 0/49, fortyGigE 0/60
lacp mode active
B. interface Port-channel 100
channel member fortyGigE 0/49, firtyGigE 0/53
switchport
interface range fortyGigE 0/49, fortyGigE 0/53
port-channel 100 mode active
C. interface Port-channel 1
switchport
interface range fortyGigE 0/46, fortyGigE 0/60
port-channel-protocol LACP
port-channel 1 mode active
D. interface Port-channel 1
switchport
interface range fortyGigE 0/49, fortyGigE 0/53
port-channel-protocol LACP
port-channel 1 mode active
Answer: A

NEW QUESTION: 4
Which rack / enclosure would be used for limited space with just one or two pieces of small equipment?
A. Wall-mount enclosure
B. Four post open frame
C. Seismic enclosure
D. Free-standing enclosure
Answer: A