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TeraData TDVAN5 Questions - Try Our Real TDVAN5 Dumps [2025]

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TeraData TDVAN5 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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.

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

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.

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TeraData HCIA-Datacom V1.0 Sample Questions (Q45-Q50):

NEW QUESTION # 45
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 Utilization
C. AWT Wait Time
D. CPU Disk Ratio

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 # 46
Which statement accurately characterizes privileges?

A. Users have no privileges on any objects they create unless specific grants are made.
B. Granting a privilege at the user level does not affect DBC.AccessRights.
C. Granting a privilege at the database level automatically causes that privilege to be inserted in DBC.AccessRights for each object contained in the database.
D. Databases have privileges on all objects created within them without the need for explicit grants.

Answer: C

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 # 47
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. Summary
C. Sampled
D. [Dynamic AMP Sample

Answer: D

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 # 48
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 does not exceed the AWT limit of Rule 2.
B. TASM rejects it because it would exceed the AWT limit of Rule 1.
C. TASM rejects it because it does not exceed the AWT limit of Rule 2.
D. TASM delays it because it would exceed the AWT limit of Rule 1.

Answer: D

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 # 49
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. The default temporary NOS location defined on the connector
B. Temp space assigned to the Teradata user defined in the authorization object
C. Perm space assigned to the user executing the QueryGrid query
D. Spool space and temporary database name defined on the link

Answer: D

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 # 50
......

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