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Latest TDVAN5 Exam Question | New TDVAN5 Exam Format

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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

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

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 4

Security Management & Auditing: This section of the exam measures the skills of such database managers. It covers the features, functionality, and benefits of access logging and advanced security configurations.

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TeraData HCIA-Datacom V1.0 Sample Questions (Q62-Q67):

NEW QUESTION # 62
Which spool threshold can an Administrator set to define workload management exception criteria?

A. Maximum Spool Rows
B. Spool Skew
C. Hot AMP Spool
D. Max Spool Space By AMP

Answer: B

Explanation:
Spool Skew is a threshold that an Administrator can set in workload management to detect and manage uneven distribution of spool space usage across AMPs (Access Module Processors). When spool skew exceeds a certain threshold, it can trigger exception handling or corrective actions, helping to prevent performance degradation caused by unbalanced resource utilization.
The other options are less commonly used for defining workload management exception criteria:
Maximum Spool Rows: This is not a standard threshold for workload management.
Hot AMP Spool: While this refers to uneven spool space usage on a specific AMP, spool skew is the more appropriate term and metric used for setting thresholds.
Max Spool Space By AMP: This isn't a standard workload management threshold. Spool space limits are generally applied system-wide or per user, not by AMP.

NEW QUESTION # 63
At a large car manufacturer, huge volumes of diagnostic data for cars are collected in the following table:

The master data for each car is stored in the following table:

Many reports require data from both tables by joining via column VehicleId.
A very frequently performed query on the system returns the number of events by FaultCode and ModelType. This query consumes many CPU and I/O resources each day.
Which action should the Administrator take to improve the runtime and resource consumption for this query?

A. Use a NUSI on VehicleEvent.FaultCode and a NUSI on Vehicle.ModelType
B. Use an aggregate join index with columns FaultCode, ModelType, as well as an appropriate aggregate function.
C. Use a single table join index on VehicleEvent hashed by FaultCode and another single table join index on Vehicle hashed by ModelType.
D. Use a sparse join index with columns FaultCode and ModelType, as well as an appropriate filter function.

Answer: B

Explanation:
To improve the runtime and resource consumption for a query that returns the number of events by FaultCode and ModelType from the two tables VehicleEvent and Vehicle, the most appropriate action would be:
A . Use an aggregate join index with columns FaultCode, ModelType, as well as an appropriate aggregate function.
Aggregate Join Index: This type of join index will pre-join the tables VehicleEvent and Vehicle on VehicleId and store the results of frequently queried aggregations (in this case, counts by FaultCode and ModelType). It would significantly reduce the need to perform full joins and aggregations at query time, saving both CPU and I/O resources.
Option B: A sparse join index is useful for selective filtering but does not offer aggregation. Since the query involves counting (aggregation), the aggregate join index is more suitable.
Option C: Creating Non-Unique Secondary Indexes (NUSIs) on FaultCode and ModelType would help speed up searches for those columns, but it won't help with the pre-aggregation or frequent joins that are consuming the majority of the resources.
Option D: Creating separate single table join indexes for FaultCode and ModelType on different tables won't improve the performance of the aggregation and join-heavy query, because the problem stems from the frequent joins and aggregations, not just individual table access.

NEW QUESTION # 64
A Vantage instance includes the following four databases:
Tables Database contains base tables and associated index subtables
Upsert_Database: contains views and other objects to support base table modifications Query Database: contains views and other objects supporting queries and reporting Development_Database: contains objects supporting development of new data applications The Administrator needs to add a new user that will perform batch-level functions.
Which action should the Administrator take to achieve this goal?

A. Set the user's profile to one that has the CREATE TABLE privilege on the Tables_Database.
B. Grant the CHECKPOINT privilege on the Tables_Database to the new user's profile.
C. Grant the CHECKPOINT privilege on the Tables_Database to the new user's account.
D. Set the user's default role to one that has the CREATE TABLE privilege on the Tables_Database.

Answer: A

Explanation:
Batch-level functions often involve creating and modifying tables as part of large data loads or updates. To allow the new user to perform these functions, the Administrator should assign them a profile that grants appropriate permissions, such as the CREATE TABLE privilege on the Tables_Database, where base tables are stored.
Profiles are a common way to manage and control resource and security settings for users in Teradata, and assigning a profile with the CREATE TABLE privilege ensures that the user can create tables in the specified database without granting excessive privileges.
Option A (Grant the CHECKPOINT privilege on the Tables_Database): The CHECKPOINT privilege is related to checkpointing transactions, which is not directly relevant to batch-level functions involving table creation or modification.
Option B (Set the user's default role to one that has the CREATE TABLE privilege): While setting a default role can grant privileges, using a profile is a more scalable way to manage user resource and privilege settings, especially if the profile already exists with the necessary permissions.
Option D (Grant the CHECKPOINT privilege on the Tables_Database to the new user's profile): Again, the CHECKPOINT privilege is not directly related to the batch-level activities such as creating tables.

NEW QUESTION # 65
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. Planned environments to specify periods when data scientists can run Python scripts
B. Exceptions to place Python scripts consuming too much memory into a penalty box
C. Throttles to limit the concurrency of Python scripts
D. Virtual partitions to assign separate memory space to each Python script

Answer: C

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 # 66
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. [Dynamic AMP Sample
B. Full-table
C. Sampled
D. Summary

Answer: A

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 # 67
......

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Drew Jones Drew Jones

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