This quiz focuses on RFC (Remote Function Call) management in enterprise systems, exploring tools, parameters, and monitoring techniques.
Rdisp/rfc_max_own_wp
Rdisp/rfc_min_wait_dia_wp
Rdisp/rfc_max_own_login
Rdisp/rfc_max_comm_entries
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SM58
SMQ1
SMQ2
ST05
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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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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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rdisp/rfc_use_quotas
rdisp/rfc_max_login
rdisp/queue/wait
rdisp/max_sessions
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Synchronous RFC (sRFC)
Background RFC (bgRFC)
Asynchronous RFC (aRFC)
Background RFC (bgRFC)
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Roll wait time
Roll out time
Processing time
Time to establish the RFC connection
Database request time
Roll in time
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To reduce load on the database
To speed up access to data
To speed up buffering time
To reduce the load on extended memory
To allow users fast access
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True
False
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Tables that are seldom changed.
Large tables that are often accessed.
Customizing data.
Transaction data.
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rdisp/ddlogmode
rdisp/switch_bufmode
rdisp/bufremode
rdisp/auto_buf
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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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If the table is larger than 1MB.
If the table experiences many invalidations.
If the table is already buffered in the database buffer.
If the table is frequently accessed.
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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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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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rdisp/bufrefmode
rdisp/bufreftime
rdisp/max_alt_modes
rdisp/buffer_on
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True
False
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Execution plan (table/index access)
Estimated costs/ Estimated rows
Memory usage
Table/indexes statistics
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True
False
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SQL statements used by ABAP programs
SQL statements used by SAP Basis Tables
Recursive SQL Statements
SQL statements used by Database Administration Tools
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SQL Monitor can be switched on for all or dedicated servers.
SQL Monitor is designed to trace a single process.
SQL Monitor can trace every SQL statement coming from ABAP programs, which include all OPEN SQL, native SQL, and ABAP kernel SQL statements.
SQL Monitor has low impact on the performance of the production system.
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SQL statement which requires many records to be transferred to the ABAP program.
SQL statement which uses table buffering.
SQL statement which uses index during data retrieval.
SQL statement which reads many blocks but retrieves only a few records from the database.
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By using scheduled periodic refreshes.
By manual updates to avoid inconsistencies.
By using update jobs that are scheduled when an issue occurs.
Using the database planning calendar (transaction DB13).
By triggering the AS ABAP update work process.
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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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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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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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The fields specified in the WHERE clause of the SQL statement.
The number of database records that will be retrieved.
The availability of indexes for the queried tables.
The structure of the queried table as expressed by its statistics.
How often an SQL statement is executed.
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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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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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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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Roll-in time
Wait time
Dialog time
Roll-out time
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Its average CPU time and/or db times are high
Its processing time is greater than twice the CPU time
Which SQL statement has the highest execution time
On the Times tab, check the average response time.
On the Times tab, choose Task Type → DIALOG.
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True
False
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Transaction ST02
SAP Management Console
Executable program sappfpar
Transaction RZ10
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True
False
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High CPU utilization near 100%
High CPU idle time
High swap/paging activity
High DB time
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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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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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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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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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Extended memory, Remaining part of roll area, Heap memory and Initial part of roll area,
Extended memory, Heap memory, Initial part of roll area and Remaining part of roll area
Initial part of roll area, Extended memory, Heap memory and Remaining part of roll area
Initial part of roll area, Extended memory, Remaining part of roll area and Heap memory
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Roll buffer
System buffer
Dialog buffer
Paging buffer
Server buffer
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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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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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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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Quiz Review Timeline (Updated): Jan 23, 2023 +
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