Exam TDVAN5 Questions | TDVAN5 Reliable Exam Materials
Exam TDVAN5 Questions | TDVAN5 Reliable Exam Materials
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Tags: Exam TDVAN5 Questions, TDVAN5 Reliable Exam Materials, New TDVAN5 Dumps Free, TDVAN5 Latest Study Questions, New TDVAN5 Learning Materials
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TeraData TDVAN5 Exam Syllabus Topics:
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TeraData HCIA-Datacom V1.0 Sample Questions (Q16-Q21):
NEW QUESTION # 16
Which data type could support an index definition on a table?
- A. DATASET
- B. JSON
- C. Large Object (LOB)
- D. Geospatial
Answer: D
Explanation:
Geospatial data types can support index definitions in Teradata. Geospatial indexing is used to optimize spatial queries, enabling efficient searching and retrieval of data based on spatial coordinates (e.g., points, lines, polygons).
The other data types do not support indexing directly:
DATASET: This is used to store unstructured or semi-structured data and typically does not support indexing.
JSON: While JSON data can be used within Teradata, it is typically not indexed in the traditional sense.
Large Object (LOB): LOBs (like BLOBs or CLOBs) are generally used for storing large amounts of unstructured data and are not suitable for indexing due to their size and nature.
NEW QUESTION # 17
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. Collect statistics on all payload attributes.
- B. Keep the original VARCHAR data types in JSON or CSV for columns.
- C. Use a more generic LOCATION string in the USING clause.
- D. Cast column data types to appropriate values in a view of the foreign table.
Answer: D
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 # 18
The Administrator has just created a new database object on a Vantage system.
Which privilege is NOT automatically granted to that database on itself?
- A. CREATE TRIGGER
- B. CREATE AUTHORIZATION
- C. CREATE PROCEDURE
- D. CREATE MACRO
Answer: B
Explanation:
When a new database object is created in Teradata Vantage, certain object creation privileges (such as CREATE MACRO, CREATE PROCEDURE, and CREATE TRIGGER) are typically granted automatically to the database or user who created the object.
However, the CREATE AUTHORIZATION privilege, which allows a user to create an authorization object (used for external authentication to external systems, such as a cloud storage service), is not automatically granted. This privilege requires an explicit grant.
NEW QUESTION # 19
An Administrator needs to enforce a security policy which prohibits the use of an application's username from being used by certain query clients.
Which workload management feature should the Administrator use?
- A. Flex Throttle
- B. Utility Session
- C. Filter
- D. Exception
Answer: C
Explanation:
Filters in Teradata workload management allow the Administrator to define rules that restrict or block certain types of queries or connections based on specific criteria, such as the username, query client, or other attributes. In this case, the Administrator can use a filter to prevent queries from specific clients using the application's username, enforcing the security policy.
Option A (Flex Throttle) is used to manage query concurrency and system resources dynamically but is not designed to enforce security policies like user restrictions.
Option B (Utility Session) controls the number of utility sessions but does not help with filtering query clients based on usernames.
Option C (Exception) handles query workload exceptions based on certain thresholds or behaviors but doesn't directly enforce user or client restrictions.
NEW QUESTION # 20
Users are complaining that queries in their workload are taking too long. The Administrator suspects that workload management may be throttling the queries.
Which table should be analyzed to confirm this suspicion?
- A. ResUsageSps
- B. DBQLStepTbl
- C. ResUsageSawt
- D. DBQLogTbl
Answer: C
Explanation:
The ResUsageSawt table captures information related to AMP Worker Task (AWT) usage and workload throttling. If queries are being throttled due to workload management, this table will provide relevant data, including details about tasks that may be waiting due to AWT limits or other resource constraints.
Option A (ResUsageSps) focuses on stored procedure statistics and may not provide direct insight into query throttling.
Option C (DBQLogTbl) logs query-level statistics but does not directly capture information about throttling due to workload management.
Option D (DBQLStepTbl) contains detailed information about query execution steps but, like DBQLogTbl, it does not provide information about throttling.
NEW QUESTION # 21
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