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TeraData HCIA-Datacom V1.0 Sample Questions (Q70-Q75):

NEW QUESTION # 70
An update of a very large table was in progress when the system experienced an unplanned restart. After restarting, the system is available, but Recovery Manager shows it may be many hours before a large table is available for use. The Administrator needs to make the table available sooner.
Which option should be used to achieve this goal?

A. Cancel the rollback, and restore the table from backup.
B. Use Workload Manager to elevate the rollback to the SLG tier.
C. Drop the transaction journal, and set RollbackPriority to TRUE.
D. Use MultiLoad to execute a DROP of the table, and restore it from backup.

Answer: A

Explanation:
When a system experiences an unplanned restart during an update operation, the rollback process can take a significant amount of time, especially for very large tables. Canceling the rollback will stop the system from attempting to undo the incomplete transactions.
After canceling the rollback, the table can be restored from a backup, which is a much faster way to recover the table and make it available for use again.
The other options are less effective:
Use Workload Manager to elevate the rollback to the SLG tier: While this may prioritize the rollback, it doesn't significantly reduce the time required for a large table rollback.
Use MultiLoad to execute a DROP of the table, and restore it from backup: MultiLoad is not typically used for dropping tables, and this adds unnecessary complexity.
Drop the transaction journal, and set RollbackPriority to TRUE: Dropping the transaction journal could lead to data inconsistencies, and setting RollbackPriority to TRUE does not directly make the table available sooner.

NEW QUESTION # 71
A system in Viewpoint is regularly reported as being in a critical state due to a lack of available AWT. No flow control is observed on the system. The Administrator identified that this is due to a recently completed cloud migration for the system that increased the number of available AWT from 80 to 120.
Which process task is required to set up the system in Viewpoint to address this problem?

A. Adjust the system alert that has been configured for AWT to the recommended critical threshold of 92.
B. Increase by 40 the degraded and critical thresholds for the AWT in the system health setup portlet.
C. Configure the AWT Info data collector with the updated setting of 120 maximum AWT.
D. Update the performance data collection portlet job that collects resource usage data with the 120 maximum AWT value.

Answer: B

Explanation:
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.

NEW QUESTION # 72
The data science team reports that they do not have enough memory to run in-database Python scripts when the scripts operate simultaneously.
Which workload management feature should the Administrator use to resolve this issue?

A. Exceptions to place Python scripts consuming too much memory into a penalty box
B. Virtual partitions to assign separate memory space to each Python script
C. Planned environments to specify periods when data scientists can run Python scripts
D. Throttles to limit the concurrency of Python scripts

Answer: D

Explanation:
Using throttles in workload management allows the Administrator to limit the concurrency of Python scripts running in the system. By controlling the number of Python scripts that can run simultaneously, you can prevent memory exhaustion and ensure that enough resources are available for each script to execute without causing failures due to memory constraints.

NEW QUESTION # 73
An Administrator notices that a system appears to be near capacity and needs to access a dictionary to assess that AMPs are entering into flow control.
Which dictionary should be accessed for this purpose?

A. DBC.AMPUsage
B. DBC.ResUsageSldv
C. DBC.ResUsageSawt
D. DBC.SessionInfoV

Answer: C

Explanation:
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.

NEW QUESTION # 74
An analytics team uses a multibillion row table that is relevant to a great number of queries with different filters and joins. The Administrator needs to identify an effective strategy to collect statistics on this table.
Which statistics should be collected?

A. Full-table
B. [Dynamic AMP Sample
C. Sampled
D. Summary

Answer: B

Explanation:
Dynamic AMP Sample is an efficient method for collecting statistics on large tables. It collects sample statistics from a subset of AMPs (Access Module Processors) in the system, making it much faster and less resource-intensive than collecting full-table statistics, while still providing sufficiently accurate information for the optimizer.
Full-table statistics collection would be too resource-intensive for a multibillion-row table, potentially causing performance issues due to the size of the data.
Sampled statistics might be an option, but Dynamic AMP Sample is generally preferred because it provides a more efficient and balanced approach in large distributed systems like Teradata.
Summary statistics typically apply to aggregate data rather than large, detailed tables, and would not be sufficient for query optimization across different filters and joins.
Hence, Dynamic AMP Sample is the most effective strategy in this scenario.

NEW QUESTION # 75
......

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