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TeraData TDVAN5 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 3

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 (Q54-Q59):

NEW QUESTION # 54
A customer has to use Data Mover with legacy tools to transfer data from the production system to the disaster recovery (DR) system. Both systems are on-prem, but located in different geographies.
Where should the Data Mover Server be deployed to provide optimum data transfer?

A. In the target environment
B. In the source environment (production]
C. Location does not affect data transfer bandwidth.
D. In the cloud

Answer: B

Explanation:
Data Mover Server should be deployed in the source environment (production) for optimum data transfer. This setup ensures that the data is transferred as efficiently as possible from the production system to the disaster recovery (DR) system. By having the server close to the source, it can access the data more quickly and efficiently initiate the transfer process, minimizing delays caused by geographic distance.
Location does not affect data transfer bandwidth: Location does affect data transfer bandwidth due to network latency and distance between systems.
In the cloud: Using a cloud environment would introduce unnecessary complexity and potential latency since both systems are on-prem.
In the target environment (DR): Deploying the Data Mover Server in the target environment could introduce latency issues, as it would have to pull data from the production system over long distances.
Thus, placing the server in the source environment is optimal for reducing latency and maximizing data transfer efficiency.

NEW QUESTION # 55
An Administrator is required to load sensor data from cloud storage. This store contains many numeric columns.
Which strategy should the Administrator use to optimize the data load?

A. Cast column data types to appropriate values in a view of the foreign table.
B. Use a more generic LOCATION string in the USING clause.
C. Collect statistics on all payload attributes.
D. Keep the original VARCHAR data types in JSON or CSV for columns.

Answer: A

Explanation:
When loading sensor data, especially if it involves many numeric columns, casting the data to appropriate types (like INT, FLOAT, etc.) in a view can significantly improve query performance and reduce storage overhead. This approach ensures that the numeric data is handled efficiently, avoiding unnecessary conversions or using inefficient data types such as VARCHAR.

NEW QUESTION # 56
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. MAXAMPIO and PJI
B. REQPHYSIO and UII
C. TOTALIOCOUNT and PJI
D. I/O SKEW % and UII

Answer: C

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 # 57
What is a use case for Data Mover?

A. Replicating data to a disaster recovery system
B. Archiving data to a Hadoop system
C. Copying data between Hadoop systems
D. Copying data between Vantage systems for active-active replication

Answer: A

Explanation:
Teradata Data Mover is primarily designed to copy and replicate data between Teradata or Vantage systems. One of its common use cases is to move data to a disaster recovery system, ensuring that data is available in case of system failure or disaster, and making it a valuable tool for maintaining high availability and business continuity.
Archiving data to Hadoop and Copying data between Hadoop systems are more relevant to other tools such as Teradata QueryGrid, which integrates Vantage with Hadoop and other external systems.
Copying data between Vantage systems for active-active replication might involve Data Mover, but active-active replication typically involves more sophisticated real-time synchronization technologies like Teradata's Unity or QueryGrid.

NEW QUESTION # 58
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 # 59
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