TeraData TDVAN5 Demo Test | Valid TDVAN5 Exam Experience

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TeraData TDVAN5 Exam Syllabus Topics:

Topic	Details
Topic 1	User Administration: This section evaluates the skills of system administrators in meeting user security requirements through roles and proxy access configurations. Candidates will also learn about the functionality and benefits of profiles, as well as the key attributes that should be set for a new user.
Topic 2	Integration: This section tests the skills of database administrators in utilizing integration tools like QueryGrid and NOS. It covers the benefits, features, and functionality of QueryGrid, the database objects supporting its implementation, and the performance implications of accessing NOS and foreign servers.
Topic 3	Performance Management: This section of the exam evaluates the skills of TeraData database administrators. It focuses on strategies for managing statistics, implementing DBQL logging, and using performance data to troubleshoot and resolve system issues.
Topic 4	Monitoring Vantage: This section of the exam measures the skills of IT professionals such as system administrators. It covers how to effectively use Viewpoint to investigate system conditions, monitor external queries, and administer both Viewpoint and monitored systems.
Topic 5	Database Management: This section tests the skills of database administrators in managing access rights and advanced analytic functions. It covers logging benefits, privilege types, and the impact of changing global parameters on user sessions.

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TeraData HCIA-Datacom V1.0 Sample Questions (Q66-Q71):

NEW QUESTION # 66
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. ResUsageSps
B. DBQLogTbl
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 # 67
A table that contains about two billion records is showing a bad response time for range-based queries on the order date column and frequently projects 10 out of 100 columns. The Administrator decides to convert the table to a column and row partitioned table.
Which resource is constrained?

A. Space
B. CPU
C. AWT
D. I/O

Answer: D

Explanation:
The table contains about two billion records and is exhibiting poor response time for range-based queries on the order date column, along with frequently projecting only 10 out of 100 columns. These factors indicate that the I/O (Input/Output) subsystem is under strain, as large amounts of data are being scanned and retrieved unnecessarily for each query.
Row and column partitioning can significantly reduce the amount of data that needs to be read from disk by limiting I/O to only the necessary partitions (rows) and columns, thus improving performance.
CPU might also be involved, but in this case, the primary concern appears to be I/O due to the large volume of data being retrieved and processed inefficiently.
AWT (AMP Worker Tasks) and Space are less likely to be the primary issues based on the problem description, as there is no mention of concurrency issues (AWT) or running out of space.

NEW QUESTION # 68
Which benefit is achieved by creating profiles?

A. Assigning permanent space for groups of users with similar needs
B. Managing user privileges on database objects
C. Defining spool space for groups of users with similar needs
D. Reducing the growth of the DBC.AccessRights table

Answer: C

Explanation:
Profiles in Teradata are used to manage and enforce resource limits for groups of users. This includes defining spool space, temporary space, and permanent space for users who share similar needs. Spool space is important for query processing, and managing it by profile helps prevent individual users from consuming excessive resources and ensures better overall system performance.
Reducing the growth of the DBC.AccessRights table is not directly related to profiles. Profiles do not reduce access rights or the growth of this table, which tracks individual user privileges.
Managing user privileges on database objects is handled through roles and grants, not profiles. Profiles focus on resource management, not privileges.
Assigning permanent space for groups of users is partially true since profiles can manage some space attributes, but the main focus of profiles is on managing spool space rather than permanent space.

NEW QUESTION # 69
A group of batch queries that rely on QueryGrid to source data from a cloud Vantage system has failed and requires urgent investigation.
Which Viewpoint portlet should be used to initially investigate the reason for this problem?
A group of batch queries that rely on QueryGrid to source data from a cloud Vantage system has failed and requires urgent investigation.
Which Viewpoint portlet should be used to initially investigate the reason for this problem?

A. Alert Viewer
B. Productivity
C. Query Spotlight
D. Completed Queries

Answer: A

Explanation:
The Alert Viewer portlet in Viewpoint is designed to show system alerts and failures. Since the issue is urgent and involves failed queries using QueryGrid, the Alert Viewer is the appropriate place to start the investigation. It will display any alerts or failures related to QueryGrid, system connectivity, or resource constraints, providing insight into what might have caused the batch queries to fail.
Option A (Query Spotlight) is more focused on analyzing the performance of individual queries but may not directly highlight system or connection issues related to QueryGrid failures.
Option C (Productivity) gives insights into system usage and workload management, but it's not the primary tool for troubleshooting failed queries.
Option D (Completed Queries) shows details about successfully completed queries but is not the best place to start for investigating failed queries that require urgent attention.

NEW QUESTION # 70
An application is consuming very high I/O on Teradata Vantage. The Administrator has been asked to identify the queries that are consuming more than 100 million IOs and are suspected of completing Full Table Scans or Large Redistribution.
Which metrics should be examined for high values to identify the queries?

A. I/O SKEW % and UII
B. TOTALIOCOUNT and PJI
C. REQPHYSIO and UII
D. MAXAMPIO and PJI

Answer: B

Explanation:
TOTALIOCOUNT represents the total number of I/O operations a query performs, which is crucial when trying to identify queries consuming excessive I/O (in this case, more than 100 million IOs). This directly indicates the amount of I/O a query is generating.
PJI (Product Join Index) measures whether a product join is being performed in the query, which is often associated with inefficient joins that result in large redistributions of data. A high PJI value indicates that the query might be performing a product join, leading to a significant performance hit due to large redistributions.
Option A (MAXAMPIO and PJI): MAXAMPIO refers to the maximum I/O performed by a single AMP, but TOTALIOCOUNT is a more direct indicator of the total I/O performed by a query across all AMPs.
Option C (I/O SKEW % and UII): I/O SKEW % indicates uneven distribution of I/O, which can cause performance issues, but it does not directly measure the total I/O consumption like TOTALIOCOUNT does. UII (Utility Impact Index) is relevant but not as important for identifying large I/O queries.
Option D (REQPHYSIO and UII): REQPHYSIO refers to the number of physical I/Os, but it is not as comprehensive as TOTALIOCOUNT, which includes both logical and physical I/O.
Thus, TOTALIOCOUNT (for total I/O) and PJI (to detect potential large redistributions due to product joins) are the key metrics to identify queries with high I/O and large redistributions.

NEW QUESTION # 71
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TeraData TDVAN5 Demo Test | Valid TDVAN5 Exam Experience

TeraData TDVAN5 Exam Syllabus Topics:

Valid TDVAN5 Exam Experience | Latest TDVAN5 Dumps Questions

TeraData HCIA-Datacom V1.0 Sample Questions (Q66-Q71):

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