This quiz focuses on RFC (Remote Function Call) management in enterprise systems, exploring tools, parameters, and monitoring techniques.
An SAP proprietary standalone program for collecting Operating System usage information.
An alternative to transaction Operating System Monitor (ST06(n)) for non-ABAP Systems.
The built-in tool in ABAP systems for collecting Operating System usage information.
A third party tool for collecting Operating System usage information.
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As a timespan between the dispatcher receives a request till he sends out the final response to the front end.
As the timespan between the browser sends a request to the backend till he completely rendered the response.
As the timespan between the roll-in and the roll-out of a work process is once completed.
As the timespan between an ABAP requested is being loaded into the program buffer till the request processing is finished.
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Asynchronous RFC
Transactional RFC
Synchronous RFC
Queued RFC
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RFC server-destination profile
RFC client-destination profile
RFC client profile
RFC server profile
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Synchronous RFC (sRFC)
Background RFC (bgRFC)
Asynchronous RFC (aRFC)
Background RFC (bgRFC)
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LAN check by ping in transaction Operating System Monitor (ST06(n)).
Trace, in transaction Single Transaction Analysis (ST12).
Connection test in Work Process Overview (SM5O/SM66).
Trace, in transaction Single Transaction Analysis (ST12).
Check Cursor Cache in transaction DBA Cockpit (DBACOCKPIT).
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Yes, because database request time is measured at SAP instance level.
No, because database request time is measured by the database.
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Time needed to establish the RFC communication to the RFC server.
Time needed to establish the RFC communication plus roll out time, roll wait time, and roll in time.
Roll wait time caused by RFC communication.
GUI time.
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rdisp/rfc_use_quotas
rdisp/rfc_max_login
rdisp/queue/wait
rdisp/max_sessions
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Single record buffered
Generic area buffered
Fully buffered
Client specific buffered
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The database is updated and the buffer of the current application server is invalidated.
Changes are written to table DDLOG, which is read at a certain interval to invalidate the buffered content on the other application servers.
The buffered table is updated at all application servers and the database is updated afterward asynchronously by report DDLOG.
Changes are written to table DDLOG, which is read at a certain interval to update the content of the database.
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Average (aggregated) execution time of the SQL statement in milliseconds.
Average number of rows selected or changed by the SQL statement.
SQL Operation kind, for example, Read, Write access and Open, Native SQL.
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Average DB request time of more than 40% of average response time.
Average DB request time is higher than average CPU time.
Average DB request time of more than twice the average CPU time.
Average DB request time of more than 100ms.
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CPU memory
Physical memory
OS paging file/OS swap space
File system cache
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rdisp/bufrefmode
rdisp/bufreftime
rdisp/max_alt_modes
rdisp/buffer_on
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True
False
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By creating an index using selective fields from the where clause.
By updating the statistics, so the optimizer will create an appropriate index.
By creating an index using all fields from the where clause.
By educating end users to use the program that calls this SQL statement correctly.
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It allows the extended memory to grow dynamically
It allows other memory management parameters to be set automatically
It allows you identify your SAP Technology release (Software component SAP_BASIS and SAP Kernel).
Identify your Operating System (OS) release
Search the notes database using the following or similar search term combinations
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User context data
Buffered programs and tables.
Objects associated with individual users and their open transactions.
Application program data that corresponds to specific ABAP commands, such as "export to memory".
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Did the performance problem occur in the past?
Which user is experiencing the problem?
Is the problem happening right now?
How close is it to quitting time?
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If there is one instance on one host, only one SAPOSCOL process is required.
If there are multiple instances on one host, multiple SAPOSCOL processes are required.
If there are multiple instances on one host, only one SAPOSCOL process is required.
If there are multiple virtual hosts, only one SAPOSCOL process is required.
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Work processes that are started in certain situations and are stopped again when no longer needed
Work processes of the instance your are logged on to
Work process that starts processing the request
Work process that tries to load data from buffers
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Local Work Process Overview (SM50)
Operating System Monitor (ST06)
Global Work Process Overview (SM66)
Workload Monitor (ST03n)
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It makes entering PRIV mode impossible
It prevents the administrator of the system from setting any memory parameters.
It allows all memory parameters to be set automatically
It allows total extended memory size to grow dynamically and allows other memory parameters
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An SQL statement that causes the database to read many blocks (from disk or database buffer).
An SQL statement that does not use the best possible access path.
An SQL statement that causes the database to read more blocks (from disk or buffer) than required.
An SQL statement that cannot be tuned by implementing database related changes.
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How often is the statement executed.
Which user is executing the statement.
What the contribution is to the system's overall response.
Which work process type is executing the statement.
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Shared memory is only accessible on operating system level
Shared memory is accessible by all processes across all instances.
Shared memory is accessible only by dialog work processes of one instance.
Shared memory is accessible by all processes of one instance.
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Not enough CPU resource available to hold the object in the buffer.
Not enough user activity to preserve the object in the buffer.
Not enough space left in the buffer for buffering the new object.
Not enough directory entries to buffer the new object.
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In the cursor cache of the DBA cockpit.
In the transaction Operating System Monitor (ST06(n))
In transaction SQL trace (ST05 or ST12).
In transaction Work Process Overview (SM50 and SM66).
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In a Unix system, more than 20% of RAM paged out/ swapped out per hour.
In a Windows system, more than 20% of RAM paged out per hour.
In a Unix system, more than 20% of RAM paged in / swapped in per hour.
In a Windows system, more than 25% of RAM paged in per hour.
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In the local memory of the work process, when required
In the server memory of the work process, when required
In the system memory of the work process, when required
In the shared memory of the work process, when required
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True
False
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Optimization of SAP system parameters.
Optimization of SAP end-user trainings.
Optimization of database and operating system configuration.
Optimization of SAP disaster recovery procedures.
Optimization of workload distribution.
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/usr/sap/trans
sapmnt/<SID>
/usr/sap/data
/usr/sap/<SID>/DVEBMGS##/data
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Tables with a high number of invalidations
Tables with a high number of "Rows affected"
Tables with a large buffer size
Tables with buffer state 'pending'
Tables with more direct reads than sequential reads
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If it is a database process, you use the database monitor (ST04) and check if this activity can be tuned or moved to another time.
If this process leaves 10% or less overall CPU idle time, there is no need for further action because there is still headroom.
If it is an SAP work process, you compare the process ID (PID) to the list of transactions in SM50 to find out what activity is causing the load.
If it is the SAP gateway process, you might check if update processing can be moved to another instance.
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Check if load can be distributed to other servers with spare CPU capacity
Check the 'Top 40 CPU Processes' in transaction Operating System Monitor (ST06(n)).
Check that there are enough Dialog work processes configured on the instance(s) on that server.
Perform a detailed analysis of the memory configuration of the SAP system.
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Wait time
Roll In/Out time
Database Request time
CPU idle time
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During the first access to a table, all table content is copied to the table buffer on the SAP instance.
You set some of key fields for a table to be used to determine the data to be buffered during access.
You set all key fields of a table to specify which records are buffered on the SAP instance.
Each individual record accessed is buffered on the SAP instance.
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Transaction ST02
SAP Management Console
Executable program sappfpar
Transaction RZ10
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True
False
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Distribute processes that do not need to run on this specific hardware to other hardware with unused capacity.
Increase CPU capacity to avoid that memory is being paged.
Optimize the database interface so that unneeded data is not being paged out.
Identify users/programs that cause high memory consumption and optimize expensive SQL statements and suboptimal programming.
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True
False
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Tables with a high num of invalidations
Tables with a high num of 'rows affected'
Tables with a large buffer size
Tables with buffer state 'pending'
Tables with more direct reads than sequential reads
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rdisp/ddlogmode
rdisp/switch_bufmode
rdisp/bufremode
rdisp/auto_buf
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High CPU utilization near 100%
High CPU idle time
High swap/paging activity
High DB time
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To speed up context switches (roll-in/ roll-out)
To speed up context switches (dialog time/ roll-out)
To speed up context switches (roll-in/ enqueue time)
To speed up context switches (roll-in/ processing time)
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Without extended memory, a release of allocated memory in the OS paging file would not be possible.
The large size of extended memory avoids context switches where possible.
Fast context switches are needed in SAP systems because many users share few work processes.
Extended memory is accessed through pointers, therefore fast context switches are possible.
SAP transactions usually consist of more than one step or screen.
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