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TeraData TDVAN5 Exam Syllabus Topics:

Topic
Details

Topic 1

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.

Topic 2

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 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

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.

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TeraData HCIA-Datacom V1.0 Sample Questions (Q17-Q22):

NEW QUESTION # 17
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. AWT Wait Time
B. CPU Skew
C. CPU Disk Ratio
D. CPU Utilization

Answer: B

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 # 18
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. I/O
B. CPU
C. AWT
D. Space

Answer: A

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 # 19
Business users are regularly joining a common set of columns from parquet external data to existing dimension tables. An Administrator needs to improve the performance of these queries where they filter on common columns.
Which strategy can be used to improve performance?

A. Create a foreign server to access the data with column partitioning.
B. Row partition the parquet table on the filter columns.
C. Create a multi-table join index to cover the joined data.
D. Change the primary index of the foreign server to the filtering columns.

Answer: C

Explanation:
A multi-table join index pre-joins data from multiple tables and stores the result, allowing subsequent queries that perform similar joins to access the pre-joined data directly. This can significantly improve query performance, especially when there is a common set of columns frequently joined between parquet external data and dimension tables.
Option A (Row partition the parquet table on the filter columns): While row partitioning might improve some performance aspects, it's more suited for managing large datasets within Vantage tables and not as effective for parquet external data access.
Option B (Change the primary index of the foreign server to the filtering columns): There is no "primary index" on foreign servers. Foreign data (like parquet) doesn't use Vantage primary index concepts, so this option is not applicable.
Option C (Create a foreign server to access the data with column partitioning): Column partitioning is not typically applicable to external parquet data accessed through a foreign server in the same way it is for native tables. While you can optimize column access, a multi-table join index is more effective for query performance involving frequent joins.

NEW QUESTION # 20
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. Grant the CHECKPOINT privilege on the Tables_Database to the new user's account.
B. Set the user's default role to one that has the CREATE TABLE privilege on the Tables_Database.
C. Set the user's profile to one that has the CREATE TABLE privilege on the Tables_Database.
D. Grant the CHECKPOINT privilege on the Tables_Database to the new user's profile.

Answer: C

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 # 21
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. Update the performance data collection portlet job that collects resource usage data with the 120 maximum AWT value.
B. Adjust the system alert that has been configured for AWT to the recommended critical threshold of 92.
C. Increase by 40 the degraded and critical thresholds for the AWT in the system health setup portlet.
D. Configure the AWT Info data collector with the updated setting of 120 maximum AWT.

Answer: C

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 # 22
......

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