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NEW QUESTION: 1
Refer to the exhibit.
The network administrator is testing connectivity from the branch router to the newly installed application server. What is the most likely reason for the first ping having a success rate of only 60 percent?
A. There is a short delay while NAT translates the server IP address.
B. A routing table lookup delayed forwarding on the first two ping packets.
C. The network is likely to be congested, with the result that packets are being intermittently dropped.
D. The branch router had to resolve the application server MAC address.
E. The branch router LAN interface should be upgraded to FastEthernet.
Answer: D
Explanation:
Explanation/Reference:
Initially the MAC address had to be resolved, but later on it was confirmed to ping went straight away
NEW QUESTION: 2
Examine the parallelism parameters for you instance. Now examine the DSS_PLAN with parallel statement directives:
Which two are true about the DSS_PLAN resource manager plan?
A. URGENT_GROUPS sessions will always be dequeued before sessions from other groups.
B. URGENT_GROUP sessions will not be queued if 64 parallel execution servers are busy because their PARALLEL_TARGET_PERCENTAGE is not specified.
C. OTHER_GROUPS sessions are queued for maximum of six minutes.
D. An ETL_GRP sessions will be switched to URGENT_GROUPS if the session requests more than eight parallel executions servers.
E. ETL_GROUP sessions can collectively consume 64 parallel execution servers before queuing starts for this consumer group.
Answer: A,C
Explanation:
B:PARALLEL_QUEUE_TIMEOUT
Parallel Queue Timeout
When you use parallel statement queuing, if the database does not have sufficient
resources to execute a parallel statement, the statement is queued until the required
resources become available. However, there is a chance that a parallel statement may be
waiting in the parallel statement queue for longer than is desired. You can prevent such
scenarios by specifying the maximum time a parallel statement can wait in the parallel
statement queue.
The PARALLEL_QUEUE_TIMEOUT directive attribute enables you to specify the
maximum time, in seconds, that a parallel statement can wait in the parallel statement
queue before it is timed out. The PARALLEL_QUEUE_TIMEOUT attribute can be set for
each consumer group.
Incorrect:
Not C: ETL_GROUP PARALLEL_TARGET_PERCENTAGE is 50%. So ETL_GROUP can
only consume 32 servers.
Note:
*If you want more per-workload management, you must use the following directive
attributes:
/MGMT_Pn
Management attributes control how a parallel statement is selected from the parallel
statement queue for execution. You can prioritize the parallel statements of one consumer
group over another by setting a higher value for the management attributes of that group.
/PARALLEL_TARGET_PERCENTAGE
/PARALLEL_QUEUE_TIMEOUT
/PARALLEL_DEGREE_LIMIT_P1
* PARALLEL_DEGREE_LIMIT_P1 Degree of Parallelism Limit
You can limit the maximum degree of parallelism for any operation within a consumer group. The degree of parallelism is the number of parallel execution servers that are associated with a single operation. Use the PARALLEL_DEGREE_LIMIT_P1 directive attribute to specify the degree of parallelism for a consumer group.
The degree of parallelism limit applies to one operation within a consumer group; it does not limit the total degree of parallelism across all operations within the consumer group. However, you can combine both the PARALLEL_DEGREE_LIMIT_P1 and the PARALLEL_TARGET_PERCENTAGE directive attributes to achieve the desired control.
* PARALLEL_TARGET_PERCENTAGE Parallel Target Percentage
It is possible for a single consumer group to launch enough parallel statements to use all the available parallel servers. If this happens, when a high-priority parallel statement from a different consumer group is run, no parallel servers are available to allocate to this group. You can avoid such a scenario by limiting the number of parallel servers that can be used by a particular consumer group.
Use the PARALLEL_TARGET_PERCENTAGE directive attribute to specify the maximum percentage of the parallel server pool that a particular consumer group can use. The number of parallel servers used by a particular consumer group is counted as the sum of the parallel servers used by all sessions in that consumer group.
NEW QUESTION: 3
Ursa Major Solar has the following environment and requirements:
Critical, high-priority accounts have an assigned District Manager, Sales Representative, Inside Sales
Representative, and Customer Service Representative.
The Sales Manager wants to prevent these accounts from being inadvertently contacted more than
once on the same day.
The Sales Manager wants to report on various customer interactions.
How should the Administrator fulfill these requirements?
A. Log a case on the Account.
B. Post customer interactions in Chatter on the Account.
C. Enter comments into the Notes section on the Account.
D. Log a separate Task, Call, or Activity on the Account.
Answer: D
NEW QUESTION: 4
JRL manufactures two products from different combinations of the same resources. Unit selling prices and unit cost details for each product are as follows:
Identify, using graphical linear programming, the weekly production schedule for products J and L that will maximize the profits of JRL during the next four weeks.
A. The solution from the graph is to produce 330 units of J and 280 units of L. (A simplex solution shows the true optimum to be 332.333 units of J and 283.333 units of L.)
B. The solution from the graph is to produce 310 units of J and 280 units of L. (A simplex solution shows the true optimum to be 308.333 units of J and 283.333 units of L.)
C. The solution from the graph is to produce 312 units of J and 295 units of L. (A simplex solution shows the true optimum to be 312.333 units of J and 294.999 units of L.)
D. The solution from the graph is to produce 315 units of J and 290 units of L. (A simplex solution shows the true optimum to be 316.333 units of J and 293.333 units of L.)
E. The solution from the graph is to produce 317 units of J and 270 units of L. (A simplex solution shows the true optimum to be 316.666 units of J and 269.666 units of L.)
F. The solution from the graph is to produce 330 units of J and 290 units of L. (A simplex solution shows the true optimum to be 332.333 units of J and 293.333 units of L.)
Answer: B
Explanation:
Explanation/Reference: https://www.vrelearnonline.com/cima-p1-103-27/