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NEW QUESTION # 27
An Administrator needs to provide end users access to data in a Native Object Store using shared credentials.
How can this be accomplished?
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 # 28
The Administrator defined the following AWT resource limits in Viewpoint Workload Designer:
* Rule 1: A limit of 50 percent of AWTs for all DSA restore jobs in the system, with reject
* Rule 2: A limit of 20 percent of AWTs for DSA restore jobs from user UserA, with delay
* Rule 3: A limit of 10 percent of AWTs for DSA restore jobs from user UserB, with delay UserB is running DSA restore jobs, consuming 10% of AWTs. Other users are running DSA restore jobs and consuming 40% of AWTs.
What will TASM do if UserA submits a DSA restore job request?
Answer: B
Explanation:
Rule 1 limits all DSA restore jobs in the system to 50% of AWTs. Currently, 40% of AWTs are consumed by other users, and UserB is consuming 10%. So, the total AWT usage is already at the 50% limit.
Since submitting a new DSA restore job from UserA would exceed the 50% limit set in Rule 1, TASM will delay the request, as Rule 1 applies system-wide.
Rule 2 applies specifically to UserA, but Rule 1 takes precedence since the total system AWT usage is already at the global 50% threshold.
Thus, TASM delays the job because it would violate the global AWT limit in Rule 1.
NEW QUESTION # 29
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?
Answer: B
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 # 30
A suite of development jobs have been mistakenly executed at a time when a long-running critical job is being run. The business has decided to allow the development jobs to run if they do not block the critical job. An Administrator has been tasked with recording any delays experienced throughout the execution of this critical job and to abort any of the development jobs if they block it.
Which Viewpoint portlet could the Administrator use for this purpose?
Answer: D
Explanation:
The Lock Display portlet in Teradata Viewpoint provides detailed information about database locks. It allows the Administrator to monitor if any queries or jobs are causing lock contention that could block the critical job. Using this portlet, the Administrator can see if the development jobs are creating locks that delay or block the critical job. If such blocking is detected, the Administrator can take action, such as aborting the development jobs.
Option A (Query Session) shows information about active sessions but is not focused on lock contention and blocking.
Option B (Query Monitor) allows the monitoring of query performance and workloads but doesn't specifically focus on lock contention.
Option C (Show Locks) can display current lock information, but Lock Display provides a more comprehensive tool for monitoring and managing lock-related issues.
NEW QUESTION # 31
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?
Answer: A
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 # 32
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