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Latest TeraData TDVAN5 Exam Notes - TDVAN5 Prepaway Dumps

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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.

>> Latest TeraData TDVAN5 Exam Notes <<

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TeraData HCIA-Datacom V1.0 Sample Questions (Q22-Q27):

NEW QUESTION # 22
Which spool threshold can an Administrator set to define workload management exception criteria?

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

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 # 23
Partition elimination enhances query performance by skipping row partitions that do not contain rows that meet the search conditions of a query. Without collected statistics for some partitioning expressions, the Optimizer assumes a total of 65,535 partitions. This could easily be far more than the number of populated partitions and would adversely affect performance.
Which form of partitioning will cause the Optimizer to make this assumption?

A. Partitioning on a character column
B. Basing the partitioning expression on a RANGE_N character column
C. Basing the partitioning expression on two or more numeric columns
D. Basing the partitioning expression on a CASE_N function

Answer: D

Explanation:
CASE_N partitioning is a complex form of partitioning that can result in a large number of potential partitions. When statistics are not collected for the partitioning expressions, the Optimizer assumes the worst-case scenario of 65,535 partitions, which can significantly affect query performance.
Option A (Partitioning on a character column) and Option C (Basing the partitioning expression on two or more numeric columns) could affect performance, but they don't lead to the specific assumption of 65,535 partitions unless more complex functions are involved.
Option D (Basing the partitioning expression on a RANGE_N character column) involves range-based partitioning, which is typically more straightforward and doesn't automatically cause the assumption of 65,535 partitions unless complex expressions like CASE_N are used.

NEW QUESTION # 24
An Administrator has been tasked with analyzing previous growth and usage patterns by utilities such as Multiload and FastLoad. The aim is to project the likely resource requirements of the existing loads in the next three to six months.
In the last month, the Administrator team have started using AccountString expansion on all user accounts and have started maintenance jobs to housekeep system data older than seven years. Two years ago, the following command was issued on the system:
BEGIN QUERY LOGGING WITH ALL ON ALL;
No other logging commands have been issued.
Which view contains the utility usage data for the prior months?

A. LogOnOffV
B. AMPUsageV
C. QryLogV
D. QryLogUtilityV

Answer: D

Explanation:
QryLogUtilityV is a specific DBQL (Database Query Logging) view that provides information about utility usage (such as Multiload and FastLoad) on the system. Since the BEGIN QUERY LOGGING WITH ALL ON ALL command was issued two years ago, the DBQL (Database Query Logging) has been tracking various events, including utility usage, which is stored in QryLogUtilityV.
Option A (AMPUsageV) contains AMP (Access Module Processor) level statistics and usage data but not detailed information about utility jobs.
Option B (LogOnOffV) tracks user logon and logoff activities but does not provide information about utility usage.
Option D (QryLogV) logs general query execution data but is not specifically focused on utility usage.

NEW QUESTION # 25
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. Configure the AWT Info data collector with the updated setting of 120 maximum AWT.
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. Update the performance data collection portlet job that collects resource usage data with the 120 maximum AWT value.

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 # 26
An Administrator needs to provide end users access to data in a Native Object Store using shared credentials.
How can this be accomplished?

A. Define a FOREIGN TABLE with DEFINER TRUSTED security.
B. Define a FUNCTION MAPPING with INVOKER TRUSTED security.
C. Use an S3 1AM role or Azure SAS token rather than User and Password.
D. Grant users access to a shared AUTHORIZATION object.

Answer: D

Explanation:
In Teradata's Native Object Store, the AUTHORIZATION object stores shared credentials (such as an S3 IAM role, Azure SAS token, or other cloud storage credentials). By granting users access to this shared authorization object, the administrator can allow multiple users to access the object store using the same set of credentials. This simplifies credential management and ensures secure access to the external data source.
Option A (Define a FOREIGN TABLE with DEFINER TRUSTED security) refers to defining a foreign table with a specific security model but does not handle shared credentials directly.
Option B (Define a FUNCTION MAPPING with INVOKER TRUSTED security) relates to function mappings and security contexts for user-defined functions, not directly to shared credentials for accessing an object store.
Option C (Use an S3 IAM role or Azure SAS token rather than User and Password) is a part of how credentials might be managed, but it does not address the mechanism for sharing these credentials among users. The AUTHORIZATION object is the correct method for managing and sharing these credentials securely.

NEW QUESTION # 27
......

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