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NEW QUESTION # 32
A web application executes millions of tactical queries on different tables of a large Vantage system, as shown below:
The most frequent query of the application is using the following SQL with this variable parameter:
The application owner requested to check for optimizations to improve the runtime of the query.
What should the Administrator suggest in this situation?
- A. ALTER the tables ProductType and OrderType to use a sparse map that includes only a subset of the AMPs.
- B. Create a sparse join index on Receiptline, with CustomerNumber as an input parameter.
- C. Instead of directly accessing table Receiptline. a global temporary table should be used, that needs to contain prefiltered rows with CustomerNumber = <parameter>.
- D. Create a NUSI on Receiptline on each of the columns: ProductTypeId, OrderTypeId, VendorId.
Answer: B
Explanation:
A sparse join index can be used to store a subset of rows from a table based on the condition of the most frequently queried parameter, in this case, CustomerNumber. By creating a sparse join index on the Receiptline table with CustomerNumber as an input parameter, the query can access a smaller subset of the data more efficiently, which can significantly improve performance, especially when millions of tactical queries are involved.
The other options are less optimal for this situation:
Create a NUSI on Receiptline: While NUSIs can improve query performance, creating NUSIs on multiple columns (e.g., ProductTypeId, OrderTypeId, VendorId) may not be as effective for improving this specific query focused on CustomerNumber.
ALTER tables ProductType and OrderType: Using a sparse map for these small tables (55 and 175 rows) wouldn't provide much benefit in terms of performance improvement, as the issue is not with these tables but with the larger Receiptline table.
Use a global temporary table: While prefiltering data in a temporary table could help in certain situations, this adds complexity and maintenance overhead. Additionally, it wouldn't necessarily offer a significant performance boost compared to a sparse join index.
NEW QUESTION # 33
Which table identifies whether a particular workload is suffering from a shortage of AMP Worker Tasks?
- A. ResUsageSps
- B. ResUsageSawt
- C. ResUsageSpma
- D. ResUsageSvpr
Answer: B
Explanation:
The ResUsageSawt table captures detailed statistics related to AMP Worker Tasks (AWTs). It provides insight into how many AWTs are in use, waiting, or available, which helps identify whether a particular workload is suffering from a shortage of AWTs.
ResUsageSpma provides information about memory usage and swapping but not specifically about AWTs.
ResUsageSps focuses on session-level resource usage but does not track AMP Worker Tasks.
ResUsageSvpr provides data on virtual processor (vproc) usage and performance, not specifically on AWTs.
ResUsageSawt is the correct table to examine for AWT-related issues.
NEW QUESTION # 34
A customer has to use Data Mover with legacy tools to transfer data from the production system to the disaster recovery (DR) system. Both systems are on-prem, but located in different geographies.
Where should the Data Mover Server be deployed to provide optimum data transfer?
- A. In the target environment
- B. Location does not affect data transfer bandwidth.
- C. In the source environment (production]
- D. In the cloud
Answer: C
Explanation:
Data Mover Server should be deployed in the source environment (production) for optimum data transfer. This setup ensures that the data is transferred as efficiently as possible from the production system to the disaster recovery (DR) system. By having the server close to the source, it can access the data more quickly and efficiently initiate the transfer process, minimizing delays caused by geographic distance.
Location does not affect data transfer bandwidth: Location does affect data transfer bandwidth due to network latency and distance between systems.
In the cloud: Using a cloud environment would introduce unnecessary complexity and potential latency since both systems are on-prem.
In the target environment (DR): Deploying the Data Mover Server in the target environment could introduce latency issues, as it would have to pull data from the production system over long distances.
Thus, placing the server in the source environment is optimal for reducing latency and maximizing data transfer efficiency.
NEW QUESTION # 35
What is a use case for Data Mover?
- A. Replicating data to a disaster recovery system
- B. Copying data between Hadoop systems
- C. Archiving data to a Hadoop system
- D. Copying data between Vantage systems for active-active replication
Answer: A
Explanation:
Teradata Data Mover is primarily designed to copy and replicate data between Teradata or Vantage systems. One of its common use cases is to move data to a disaster recovery system, ensuring that data is available in case of system failure or disaster, and making it a valuable tool for maintaining high availability and business continuity.
Archiving data to Hadoop and Copying data between Hadoop systems are more relevant to other tools such as Teradata QueryGrid, which integrates Vantage with Hadoop and other external systems.
Copying data between Vantage systems for active-active replication might involve Data Mover, but active-active replication typically involves more sophisticated real-time synchronization technologies like Teradata's Unity or QueryGrid.
NEW QUESTION # 36
An Administrator has been given a task to generate a list of users who have not changed their password in the last 90 days.
Which DBC view should be used to generate this list?
- A. DBC.USERSV
- B. DBC.ACCESSLOGV
- C. DBC.LOGONOFFV
- D. DBC.SECURITYDEFAULTSV
Answer: A
Explanation:
DBC.USERSV contains information about users, including the passwordlastmodified column, which records the date and time the user last changed their password. By querying this view, the Administrator can identify users who have not updated their password within the specified time frame (in this case, 90 days).
Option A (DBC.LOGONOFFV) logs user logon and logoff events, but it does not track password changes.
Option C (DBC.SECURITYDEFAULTSV) contains system-wide security defaults, but it does not track individual user password activity.
Option D (DBC.ACCESSLOGV) logs access control events, like who accessed which database objects, but it doesn't track password changes either.
Therefore, DBC.USERSV is the appropriate view to use for this task.
NEW QUESTION # 37
The Administrator defined the following AWT resource limits in Viewpoint Workload Designer:
* Rule 1: A limit of 50 percent of AWTs for all DSA restore jobs in the system, with reject
* Rule 2: A limit of 20 percent of AWTs for DSA restore jobs from user UserA, with delay
* Rule 3: A limit of 10 percent of AWTs for DSA restore jobs from user UserB, with delay UserB is running DSA restore jobs, consuming 10% of AWTs. Other users are running DSA restore jobs and consuming 40% of AWTs.
What will TASM do if UserA submits a DSA restore job request?
- A. TASM delays it because it would exceed the AWT limit of Rule 1.
- B. TASM rejects it because it does not exceed the AWT limit of Rule 2.
- C. TASM delays it because it does not exceed the AWT limit of Rule 2.
- D. TASM rejects it because it would exceed the AWT limit of Rule 1.
Answer: A
Explanation:
Rule 1 limits all DSA restore jobs in the system to 50% of AWTs. Currently, 40% of AWTs are consumed by other users, and UserB is consuming 10%. So, the total AWT usage is already at the 50% limit.
Since submitting a new DSA restore job from UserA would exceed the 50% limit set in Rule 1, TASM will delay the request, as Rule 1 applies system-wide.
Rule 2 applies specifically to UserA, but Rule 1 takes precedence since the total system AWT usage is already at the global 50% threshold.
Thus, TASM delays the job because it would violate the global AWT limit in Rule 1.
NEW QUESTION # 38
A client has a healthy system but often sees delays in some queries because of workload concurrency limits. These limits have been carefully chosen, so the client needs a solution that will not modify them.
What should the Administrator use to assist this client?
- A. Use Query Group Viewpoint gortjet to change the throttle limit temporally.
- B. Use a system throttle.
- C. Use Flex Throttle option.
Answer: C
Explanation:
Use Query Monitor Viewpoint portlet to change query workloads.
Explanation:
The Flex Throttle option allows the system to temporarily adjust workload concurrency limits based on system conditions. This provides more flexibility when handling spikes in query concurrency, without permanently modifying the established workload limits. Flex Throttle is ideal for handling temporary peaks in activity, helping to smooth out delays while keeping the core concurrency limits intact.
Option A (Use a system throttle) would enforce strict concurrency limits but doesn't provide the flexibility needed in this scenario, where the client is trying to avoid modifying existing limits.
Option B (Use Query Group Viewpoint portlet to change the throttle limit temporarily) suggests manually adjusting the throttle limit, which is not desirable in this case as the limits have been carefully chosen.
Option D (Use Query Monitor Viewpoint portlet to change query workloads) would involve changing the way queries are handled or prioritized but does not address the need to keep concurrency limits unchanged while still dealing with temporary delays.
Thus, Flex Throttle (Option C) provides the best solution to assist the client without altering the concurrency limits permanently.
NEW QUESTION # 39
What is the maximum payload size for CSV and JSON data formats that the NOS_READ function can read, when it is based on the LATIN character set?
- A. 32 MB
- B. 2 GB
- C. 8 GB
- D. 16 MB
Answer: A
Explanation:
When using the NOS_READ function in Teradata to read data in CSV and JSON formats based on the LATIN character set, the maximum payload size that can be read is 32 MB. This limit ensures efficient processing and handling of large datasets, while also maintaining performance.
NEW QUESTION # 40
An Administrator has been presented with these performance metrics from the DBQLOGTBL table for four queries:
The Administrator needs to identify which query is suspected to be causing a full table scan or large redistribution.
Which query is producing this result?
- A. QRY_C because of UII
- B. QRY_B because of IO SKEW
- C. QRY_D because of CPU SKEW
- D. QRY_A because of PJI
Answer: B
Explanation:
IO SKEW refers to an uneven distribution of I/O operations across AMPs, which can occur during large redistributions or full table scans, as data needs to be read from or written to the entire table. High IO skew indicates that some AMPs are handling significantly more I/O than others, which is often a sign of inefficient data distribution or full table scanning.
QRY_B has an IO SKEW value of 2.76, which is much higher than the other queries, suggesting that it is likely performing a full table scan or large redistribution, as this would result in uneven I/O across AMPs.
CPU SKEW (as seen in QRY_D) could indicate an issue with CPU load balancing, but it doesn't necessarily suggest a full table scan or redistribution.
UII (Utility Impact Index) and PJI (Product Join Index) are also metrics that might indicate query inefficiencies, but the high IO SKEW in QRY_B is the most direct indicator of a full table scan or large redistribution.
QRY_B is the query suspected of causing the full table scan or large redistribution due to its high IO SKEW value.
NEW QUESTION # 41
An Administrator needs to enforce a security policy which prohibits the use of an application's username from being used by certain query clients.
Which workload management feature should the Administrator use?
- A. Exception
- B. Flex Throttle
- C. Filter
- D. Utility Session
Answer: C
Explanation:
Filters in Teradata workload management allow the Administrator to define rules that restrict or block certain types of queries or connections based on specific criteria, such as the username, query client, or other attributes. In this case, the Administrator can use a filter to prevent queries from specific clients using the application's username, enforcing the security policy.
Option A (Flex Throttle) is used to manage query concurrency and system resources dynamically but is not designed to enforce security policies like user restrictions.
Option B (Utility Session) controls the number of utility sessions but does not help with filtering query clients based on usernames.
Option C (Exception) handles query workload exceptions based on certain thresholds or behaviors but doesn't directly enforce user or client restrictions.
NEW QUESTION # 42
An Administrator has been tasked with analyzing previous growth and usage patterns by utilities such as Multiload and FastLoad. The aim is to project the likely resource requirements of the existing loads in the next three to six months.
In the last month, the Administrator team have started using AccountString expansion on all user accounts and have started maintenance jobs to housekeep system data older than seven years. Two years ago, the following command was issued on the system:
BEGIN QUERY LOGGING WITH ALL ON ALL;
No other logging commands have been issued.
Which view contains the utility usage data for the prior months?
- A. AMPUsageV
- B. QryLogV
- C. LogOnOffV
- D. QryLogUtilityV
Answer: D
Explanation:
QryLogUtilityV is a specific DBQL (Database Query Logging) view that provides information about utility usage (such as Multiload and FastLoad) on the system. Since the BEGIN QUERY LOGGING WITH ALL ON ALL command was issued two years ago, the DBQL (Database Query Logging) has been tracking various events, including utility usage, which is stored in QryLogUtilityV.
Option A (AMPUsageV) contains AMP (Access Module Processor) level statistics and usage data but not detailed information about utility jobs.
Option B (LogOnOffV) tracks user logon and logoff activities but does not provide information about utility usage.
Option D (QryLogV) logs general query execution data but is not specifically focused on utility usage.
NEW QUESTION # 43
Which compression format is supported by NOS?
- A. ORC
- B. ZLIB
- C. Snappy
- D. BZIP
Answer: C
Explanation:
NOS (Native Object Store) supports data compression formats such as Snappy for efficient storage and retrieval of data.
ORC (Optimized Row Columnar) is a file format, not a compression format.
ZLIB is a compression library but is not the primary format used in NOS.
BZIP is a compression format, but it is not widely supported by NOS compared to Snappy.
NEW QUESTION # 44
An Administrator is working through a set of tasks to set up a new Vantage system. The current task is to set up alerts to trigger BTEQ scripts to run when certain conditions are met.
Which action should an Administrator take?
- A. Ensure the SMTP host is using TLS.
- B. Configure an action set specifying BTEQ.
- C. Specify BTEQ in a SNMP Trap.
- D. Define a delivery setting to run SQL.
Answer: B
Explanation:
Action sets in Teradata Vantage allow the administrator to define a set of actions that should occur when certain conditions (alerts) are triggered. In this case, the action set should be configured to run a BTEQ script when the conditions are met. This approach ensures that specific automated responses (such as running BTEQ scripts) are executed in response to alerts.
Option A (Define a delivery setting to run SQL) refers to running SQL commands but does not involve triggering BTEQ scripts, which is what the question requires.
Option B (Ensure the SMTP host is using TLS) is related to secure email notifications and is unrelated to running BTEQ scripts.
Option D (Specify BTEQ in a SNMP Trap) refers to Simple Network Management Protocol traps, which are used for network monitoring and not directly for triggering BTEQ scripts.
NEW QUESTION # 45
Which QueryGrid connector can only be a target?
- A. Hive
- B. Teradata
- C. Presto
- D. Oracle
Answer: D
Explanation:
In QueryGrid, the Oracle connector can only be used as a target, meaning data can be sent to an Oracle database but not sourced from it for querying in Teradata Vantage.
Hive, Presto, and Teradata connectors can act as both source and target, allowing data to be retrieved from or sent to these systems as part of a QueryGrid query.
Thus, Oracle is the connector that can only be a target in QueryGrid.
NEW QUESTION # 46
Users are complaining that queries in their workload are taking too long. The Administrator suspects that workload management may be throttling the queries.
Which table should be analyzed to confirm this suspicion?
- A. DBQLogTbl
- B. ResUsageSps
- C. ResUsageSawt
- D. DBQLStepTbl
Answer: C
Explanation:
The ResUsageSawt table captures information related to AMP Worker Task (AWT) usage and workload throttling. If queries are being throttled due to workload management, this table will provide relevant data, including details about tasks that may be waiting due to AWT limits or other resource constraints.
Option A (ResUsageSps) focuses on stored procedure statistics and may not provide direct insight into query throttling.
Option C (DBQLogTbl) logs query-level statistics but does not directly capture information about throttling due to workload management.
Option D (DBQLStepTbl) contains detailed information about query execution steps but, like DBQLogTbl, it does not provide information about throttling.
NEW QUESTION # 47
After a recent migration, a request has started to take significant time to complete. Upon a detailed investigation of the EXPLAIN plan, it is found that an accidental unconstrained product join on a very uniformly-distributed large table was the prime reason for the issue. The Administrator needs to use workload management to detect when this request is running.
Which criteria should the Administrator select for this issue?
- A. CPU Skew
- B. CPU Disk Ratio
- C. AWT Wait Time
- D. CPU Utilization
Answer: A
Explanation:
CPU Skew is a metric that measures the uneven distribution of CPU usage across AMPs (Access Module Processors). In the case of an accidental unconstrained product join on a large, uniformly distributed table, certain AMPs may handle significantly more work than others, leading to high CPU Skew. This skew occurs because the product join results in an inefficient execution plan, where data from the large table is unnecessarily compared row-by-row with another table.
Option A (AWT Wait Time) refers to the time queries spend waiting for available AMP Worker Tasks, but it is not directly related to detecting the inefficiencies caused by product joins.
Option C (CPU Disk Ratio) measures the relationship between CPU usage and disk I/O. While it could indicate inefficiency, it doesn't directly pinpoint product join issues like CPU Skew does.
Option D (CPU Utilization) reflects overall CPU usage but doesn't indicate imbalance across AMPs, which is critical for detecting issues like product joins.
NEW QUESTION # 48
The Administrator has dropped a profile which was associated with a group of users.
What will happen when one of the users from the group logs on to the database?
- A. The default profile setting for the user will be reset to NULL.
- B. Password attributes defined at the system level in DBCSecurityDefaultsV will apply
- C. The system will show a warning message.
- D. SPOOL and DEFAULT DATABASE specifications for the dropped profile will still apply to the user.
Answer: B
Explanation:
When a profile is dropped, the users who were associated with that profile will no longer have the specific resource and configuration settings defined by that profile. Instead, the system-level default settings, such as those specified in DBC.SecurityDefaultsV, will apply to the users. This includes password attributes and other system-wide settings.
Option A (The default profile setting for the user will be reset to NULL) is not accurate, as the system will revert to the default settings rather than leaving values unset.
Option C (The system will show a warning message) does not typically occur when a profile is dropped. The system will manage the transition without user-facing warnings at login.
Option D (SPOOL and DEFAULT DATABASE specifications for the dropped profile will still apply to the user) is incorrect because once the profile is dropped, its settings no longer apply to the users who were associated with it.
Thus, the correct outcome is that system-level attributes defined in DBC.SecurityDefaultsV will govern the users' settings moving forward.
NEW QUESTION # 49
A suite of development jobs have been mistakenly executed at a time when a long-running critical job is being run. The business has decided to allow the development jobs to run if they do not block the critical job. An Administrator has been tasked with recording any delays experienced throughout the execution of this critical job and to abort any of the development jobs if they block it.
Which Viewpoint portlet could the Administrator use for this purpose?
- A. Query Monitor
- B. Show Locks
- C. Lock Display
- D. Query Session
Answer: C
Explanation:
The Lock Display portlet in Teradata Viewpoint provides detailed information about database locks. It allows the Administrator to monitor if any queries or jobs are causing lock contention that could block the critical job. Using this portlet, the Administrator can see if the development jobs are creating locks that delay or block the critical job. If such blocking is detected, the Administrator can take action, such as aborting the development jobs.
Option A (Query Session) shows information about active sessions but is not focused on lock contention and blocking.
Option B (Query Monitor) allows the monitoring of query performance and workloads but doesn't specifically focus on lock contention.
Option C (Show Locks) can display current lock information, but Lock Display provides a more comprehensive tool for monitoring and managing lock-related issues.
NEW QUESTION # 50
Which statement accurately characterizes privileges?
- A. Granting a privilege at the database level automatically causes that privilege to be inserted in DBC.AccessRights for each object contained in the database.
- B. Users have no privileges on any objects they create unless specific grants are made.
- C. Granting a privilege at the user level does not affect DBC.AccessRights.
- D. Databases have privileges on all objects created within them without the need for explicit grants.
Answer: A
Explanation:
When a privilege is granted at the database level, it applies to all objects within the database, and this is reflected in DBC.AccessRights, which tracks access rights for users and roles on specific objects.
NEW QUESTION # 51
A customer is complaining that the creation of a large table in the lab environment is getting stuck in the merge step. The customer is using the following command to create the table:
CREATE TABLE ... AS (SELECT * ...) WITH DATA
Which recommendation will help the merge step?
- A. The MERGEBLOCKRATIO should be specified for the table to improve the data block merge operation.
- B. Users of the lab may have lower priority than other workloads, so the creation of the table should be moved to off-peak hours.
- C. A column that provides good distribution should be specified as PRIMARY INDEX.
- D. The table should be created with "CREATE TABLE ... AS (SELECT *...) WITH NO DATA", and afterwards, "INSERT ... SELECT *" should be used to fill the table.
Answer: D
Explanation:
Merge step issues often occur when a large amount of data is being processed during the table creation, especially if the system is trying to simultaneously create the table and insert data.
By using "WITH NO DATA", the table structure is created first, without the actual data being inserted during the table creation process. The *"INSERT ... SELECT " command can then be used afterwards to populate the table in a more controlled way, reducing the load on the system during the creation phase and potentially improving the efficiency of the merge step.
Specifying a good distribution for the primary index can help overall performance, but it doesn't directly address the issue with the merge step in this scenario.
Specifying the MERGEBLOCKRATIO isn't typically a solution for this specific problem; the merge block ratio is more about the optimization of data block merges rather than the creation of tables.
Moving the creation to off-peak hours may help if the environment is busy, but it doesn't directly address the core issue of the merge step getting stuck.
NEW QUESTION # 52
Which description accurately characterizes the use of external authentication for Vantage?
- A. External authentication is not permitted for mainframe clients.
- B. User authorization roles can also be supplied by the directory.
- C. The directory username must match a database username.
- D. Single Sign-On is available with LDAP authentication.
Answer: B
Explanation:
This is because external authentication systems like LDAP or Active Directory can supply both authentication (verifying the user's identity) and authorization (defining what the user is allowed to do) roles for users.
NEW QUESTION # 53
An Administrator received reports that a high priority business intelligence (BI) report is failing. This report is a large transaction comprised of multiple SQL statements. Analysis revealed that a TASM filter is rejecting one of the SQL statements in the transaction, and this is causing the entire report to fail.
Which workload management adjustment could the Administrator take to prevent this report from failing?
- A. Add exclusion criteria for multistatement requests to the filter.
- B. Define a new workload for the high priority report.
- C. Add the application ID for the report to the filter Bypass list.
- D. Enable prevent mid-transaction throttle delay.
Answer: C
Explanation:
By adding the application ID for the high-priority report to the filter Bypass list, the TASM (Teradata Active System Management) filter will no longer reject any SQL statements from this specific report. This ensures that the entire report can execute successfully without one of its statements being blocked, thereby preventing the report from failing.
NEW QUESTION # 54
A Vantage customer is using the Hive Connector in QueryGrid to access a foreign server and push the processing onto the Hadoop Cluster. The Vantage Administrator is concerned about the performance implication of the temporary space that is consumed by these queries during execution.
What must the Vantage Administrator investigate?
- A. Spool space and temporary database name defined on the link
- B. Temp space assigned to the Teradata user defined in the authorization object
- C. The default temporary NOS location defined on the connector
- D. Perm space assigned to the user executing the QueryGrid query
Answer: A
Explanation:
When using the Hive Connector in QueryGrid to push processing onto a Hadoop cluster, queries generate temporary data that consumes spool space on the Vantage system. The temporary database name defined on the link is where this temporary data is stored during execution.
The administrator should focus on investigating the spool space allocations and configurations related to the QueryGrid link because this directly impacts performance, especially when managing large datasets or complex queries.
The other options are less relevant:
Perm space assigned to the user is not directly related to the temporary space used during query execution.
The default temporary NOS location pertains to object storage and is unrelated to Hadoop or QueryGrid processing.
Temp space assigned to the Teradata user is also less relevant, as the spool space and the QueryGrid link are the primary concerns for temporary space usage in this scenario.
NEW QUESTION # 55
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