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TeraData HCIA-Datacom V1.0 Sample Questions (Q14-Q19):

NEW QUESTION # 14
A client is having many problems with a poorly written SQL. They have product joins running against large tables, and this is causing severe performance issues. The Administrator needs to help the client avoid the harm to the system that is being caused by running these queries.
Which action should be taken by the Administrator to assist this client?

A. Use a TASM system filter.
B. Use the Query Log Viewpoint portlet to identity and abort the harmful queries.
C. Use the Flex Throttle option.
D. Use the Query Spotlight Viewpoint portlet to deprioritize the queries.

Answer: A

Explanation:
Teradata Active System Management (TASM) allows the system administrator to control and manage query workload in real-time. A TASM system filter can be used to prevent or deprioritize certain types of queries, such as product joins or poorly written queries, that are consuming excessive resources. This approach ensures that problematic queries do not harm the overall system performance.
Query Spotlight Viewpoint portlet focuses on identifying and managing individual queries but does not provide the same level of proactive filtering and control as TASM system filters.
Flex Throttle is useful for controlling the concurrency of queries, but it doesn't specifically address preventing or managing product joins in a way that would directly resolve the issue with poorly written SQL.
Query Log Viewpoint portlet would help in identifying and aborting harmful queries, but it's a reactive approach rather than a proactive solution like using TASM system filters.

NEW QUESTION # 15
A web application executes millions of tactical queries on different tables of a large Vantage system, as shown below:

The most frequent query of the application is using the following SQL with this variable parameter:

The application owner requested to check for optimizations to improve the runtime of the query.
What should the Administrator suggest in this situation?

A. Create a NUSI on Receiptline on each of the columns: ProductTypeId, OrderTypeId, VendorId.
B. Instead of directly accessing table Receiptline. a global temporary table should be used, that needs to contain prefiltered rows with CustomerNumber = <parameter>.
C. ALTER the tables ProductType and OrderType to use a sparse map that includes only a subset of the AMPs.
D. Create a sparse join index on Receiptline, with CustomerNumber as an input parameter.

Answer: D

Explanation:
A sparse join index can be used to store a subset of rows from a table based on the condition of the most frequently queried parameter, in this case, CustomerNumber. By creating a sparse join index on the Receiptline table with CustomerNumber as an input parameter, the query can access a smaller subset of the data more efficiently, which can significantly improve performance, especially when millions of tactical queries are involved.
The other options are less optimal for this situation:
Create a NUSI on Receiptline: While NUSIs can improve query performance, creating NUSIs on multiple columns (e.g., ProductTypeId, OrderTypeId, VendorId) may not be as effective for improving this specific query focused on CustomerNumber.
ALTER tables ProductType and OrderType: Using a sparse map for these small tables (55 and 175 rows) wouldn't provide much benefit in terms of performance improvement, as the issue is not with these tables but with the larger Receiptline table.
Use a global temporary table: While prefiltering data in a temporary table could help in certain situations, this adds complexity and maintenance overhead. Additionally, it wouldn't necessarily offer a significant performance boost compared to a sparse join index.

NEW QUESTION # 16
A user runs a number of large, complex queries that regularly generate insufficient memory errors. The Administrator increases the value of the MaxParseTreeSegs DBS control field in order to allocate more parse tree segments to the parser for parsing requests.
Which action must be taken before the queries will run without memory errors?

A. Purge the request cache.
B. Execute an OUTPUT command.
C. The user should log out and log back in to a new session.
D. Execute an Alter METHOD command for

Answer: C

Explanation:
When the MaxParseTreeSegs value is increased, the new settings will not take effect for existing sessions. The user must log out and log back in to start a new session where the updated configuration will be applied.
Other options are not relevant in this case.

NEW QUESTION # 17
An Administrator notices that a system appears to be near capacity and needs to get information about Input/Output Token Allocations (IOTA) for each workload.
How can this information be obtained?

A. Check DBC.ResSpdskView
B. Check DBC.ResSpmaView
C. Check DBC.ResSldvView
D. Check DBC.ResSpsView

Answer: D

Explanation:
The DBC.ResSpsView view provides resource usage information, including I/O-related metrics for workloads. It includes I/O Token Allocations (IOTA), which are essential for monitoring and managing system capacity.
The other options do not specifically provide I/O Token Allocation data:
DBC.ResSpmaView is used for monitoring memory allocations.
DBC.ResSpdskView focuses on disk space usage.
DBC.ResSldvView is related to logging device information.
Therefore, DBC.ResSpsView is the correct view to check for I/O Token Allocations.

NEW QUESTION # 18
Which QueryGrid connector can only be a target?

A. Teradata
B. Presto
C. Oracle
D. Hive

Answer: C

Explanation:
In QueryGrid, the Oracle connector can only be used as a target, meaning data can be sent to an Oracle database but not sourced from it for querying in Teradata Vantage.
Hive, Presto, and Teradata connectors can act as both source and target, allowing data to be retrieved from or sent to these systems as part of a QueryGrid query.
Thus, Oracle is the connector that can only be a target in QueryGrid.

NEW QUESTION # 19
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