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TeraData HCIA-Datacom V1.0 Sample Questions (Q55-Q60):

NEW QUESTION # 55
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. Exception
B. Utility Session
C. Filter
D. Flex Throttle

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 # 56
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. Space
B. AWT
C. CPU
D. I/O

Answer: D

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 # 57
The data science team reports that they do not have enough memory to run in-database Python scripts when the scripts operate simultaneously.
Which workload management feature should the Administrator use to resolve this issue?

A. Planned environments to specify periods when data scientists can run Python scripts
B. Virtual partitions to assign separate memory space to each Python script
C. Throttles to limit the concurrency of Python scripts
D. Exceptions to place Python scripts consuming too much memory into a penalty box

Answer: C

Explanation:
Using throttles in workload management allows the Administrator to limit the concurrency of Python scripts running in the system. By controlling the number of Python scripts that can run simultaneously, you can prevent memory exhaustion and ensure that enough resources are available for each script to execute without causing failures due to memory constraints.

NEW QUESTION # 58
The Administrator has received a request to add SELECT rights on the BusinessViews database to end users, developers, and batch accounts in the accounting unit. The following roles are set up for each group:

The Administrator created the AcctShared role and will use it in a role nesting strategy to provide the required access.
Which actions can the Administrator take to fulfill this request?

A. Grant SELECT on BusinessViews to AcctShared, then grant AcctUsers, AcctDev, and AcctBatch to AcctShared.
B. Grant SELECT on AcctShared to BusinessViews, then grant AcctUsers, AcctDev, and AcctBatch to AcctShared.
C. Grant SELECT on BusinessViews to AcctShared, then grant AcctShared to AcctUsers. AcctDev, and AcctBatch.
D. Grant SELECT on AcctShared to BusinessViews, then grant AcctShared to AcctUsers. AcctDev, and AcctBatch.

Answer: C

Explanation:
The AcctShared role should be granted SELECT access on the BusinessViews database. This ensures that the role itself has the necessary privileges.
Then, you can nest this role by granting AcctShared to the individual roles of AcctUsers, AcctDev, and AcctBatch. This role nesting strategy allows the users in these groups to inherit the permissions from AcctShared without having to directly grant the privileges to each individual role.
This approach maintains a clean and efficient permission structure using role nesting.

NEW QUESTION # 59
There is a call center application that repetitively sends tactical queries to Vantage These queries use a few small tables that are joined on the primary index column.
The following maps are defined in the system:
* TD_GlobalMap
* TD_Map1
* TD_DataDictionaryMap
* TD_1AmpSparseMap_1Node
What can be done to optimize these queries?

A. Assign these tables to TD_Map1 using different colocation names for each table.
B. Assign these tables to TD_1AmpSparseMap_1Node using the same colocation name for every table
C. Assign these tables to TD_1AmpSparseMap_1Node using different colocation names for each table.
D. Assign these tables to TD_Map1 using the same colocation name for every table.

Answer: B

Explanation:
Example:
TD_1AmpSparseMap_1Node is a sparse map that assigns the data to a single AMP (or a few AMPs), and using the same colocation name ensures that the tables are collocated on the same AMP. This helps in efficient joining because no data redistribution is required between AMPs when tables are joined on the primary index.
Using different colocation names for each table (options A and D) would place the tables on different AMPs, leading to less efficient joins since data would need to be shuffled between AMPs.
TD_Map1 is a predefined map in the system but does not specifically optimize small, frequently accessed tables in the same way that TD_1AmpSparseMap_1Node does, which is more suitable for these scenarios.
Thus, using the same colocation name within the TD_1AmpSparseMap_1Node ensures that the joins are AMP-local, optimizing the repetitive tactical queries.

NEW QUESTION # 60
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