Pass the Teradata Vantage Master 2.0 TDVAN5 Questions and answers with ExamsMirror

The DBC.ResUsageSawt view provides detailed information about the resource usage of AMP Worker Tasks (AWTs), including whether AMPs are experiencing flow control. Flow control occurs when AMPs are overwhelmed and need to throttle the workload, and this view tracks metrics related to AWT usage and system resource contention, which would indicate when AMPs are under strain.

Option A (DBC.SessionInfoV) provides information about current user sessions but does not provide insights into AMP-level flow control or resource usage.

Option C (DBC.AMPUsage) provides general statistics about AMP usage but doesn't give detailed information about flow control or AWT usage.

Option D (DBC.ResUsageSldv) tracks statistics related to logical disk usage but isn't focused on AMP flow control.

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.

When loading sensor data, especially if it involves many numeric columns, casting the data to appropriate types (like INT, FLOAT, etc.) in a view can significantly improve query performance and reduce storage overhead. This approach ensures that the numeric data is handled efficiently, avoiding unnecessary conversions or using inefficient data types such as VARCHAR.

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.

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.

DBC.AccessLogV contains details regarding access logging, including privilege checks for user requests.

This view provides information about when users' actions are logged, specifically in relation to access attempts and whether these actions are allowed or denied based on their privileges.

After the cloud migration increased the number of available AWTs from 80 to 120, the thresholds for critical and degraded states in Viewpoint are likely still based on the old maximum of 80 AWTs. Since the system is now falsely reporting critical states due to this change, the thresholds need to be updated to reflect the new maximum of 120 AWTs. Increasing the degraded and critical thresholds by 40 (to account for the additional AWTs) will prevent unnecessary critical alerts.

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.

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.

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.