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Reliable TDVAN5 Exam Answers - Latest TDVAN5 Material

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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

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.

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 (Q63-Q68):

NEW QUESTION # 63
An Administrator has been given a task to generate a list of users who have not changed their password in the last 90 days.
Which DBC view should be used to generate this list?

A. DBC.LOGONOFFV
B. DBC.SECURITYDEFAULTSV
C. DBC.USERSV
D. DBC.ACCESSLOGV

Answer: C

Explanation:
DBC.USERSV contains information about users, including the passwordlastmodified column, which records the date and time the user last changed their password. By querying this view, the Administrator can identify users who have not updated their password within the specified time frame (in this case, 90 days).
Option A (DBC.LOGONOFFV) logs user logon and logoff events, but it does not track password changes.
Option C (DBC.SECURITYDEFAULTSV) contains system-wide security defaults, but it does not track individual user password activity.
Option D (DBC.ACCESSLOGV) logs access control events, like who accessed which database objects, but it doesn't track password changes either.
Therefore, DBC.USERSV is the appropriate view to use for this task.

NEW QUESTION # 64
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. AWT
B. I/O
C. CPU
D. Space

Answer: B

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 # 65
An Administrator needs to perform a cleanup task on the LOAD_ISOLATED table Employee_Address, which has grown in size.
Which lock is placed on the table when the Administrator performs clean up of the logically deleted rows?

A. ROW ACCESS
B. EXCLUSIVE
C. IREAD
D. WRITE

Answer: D

Explanation:
When performing cleanup tasks such as deleting logically deleted rows, the WRITE lock is typically applied. This lock ensures that the Administrator can modify the data in the table (such as removing logically deleted rows) while preventing other users from accessing the table for write operations. However, it allows other users to read from the table.
Other lock types:
ROW ACCESS allows reading specific rows without blocking other access, which is not suitable for cleanup tasks.
EXCLUSIVE locks the entire table for both reading and writing, which is generally too restrictive for this kind of operation.
READ only allows read access and does not permit any modifications, which would prevent the cleanup task from being performed.

NEW QUESTION # 66
The Administrator has dropped a profile which was associated with a group of users.
What will happen when one of the users from the group logs on to the database?

A. SPOOL and DEFAULT DATABASE specifications for the dropped profile will still apply to the user.
B. Password attributes defined at the system level in DBCSecurityDefaultsV will apply
C. The default profile setting for the user will be reset to NULL.
D. The system will show a warning message.

Answer: B

Explanation:
When a profile is dropped, the users who were associated with that profile will no longer have the specific resource and configuration settings defined by that profile. Instead, the system-level default settings, such as those specified in DBC.SecurityDefaultsV, will apply to the users. This includes password attributes and other system-wide settings.
Option A (The default profile setting for the user will be reset to NULL) is not accurate, as the system will revert to the default settings rather than leaving values unset.
Option C (The system will show a warning message) does not typically occur when a profile is dropped. The system will manage the transition without user-facing warnings at login.
Option D (SPOOL and DEFAULT DATABASE specifications for the dropped profile will still apply to the user) is incorrect because once the profile is dropped, its settings no longer apply to the users who were associated with it.
Thus, the correct outcome is that system-level attributes defined in DBC.SecurityDefaultsV will govern the users' settings moving forward.

NEW QUESTION # 67
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 sparse join index with columns FaultCode and ModelType, as well as an appropriate filter function.
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 NUSI on VehicleEvent.FaultCode and a NUSI on Vehicle.ModelType

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 # 68
......

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