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TeraData TDVCL2 Exam Syllabus Topics:

Topic
Details

Topic 1

TERADATA TOOLS AND UTILITIES: This section measures the competence of database system administrators in recognizing common data integration techniques.

Topic 2

SECURITY AND PRIVACY: This section is designed for security specialists and database administrators, focusing on their ability to identify privacy and security mechanisms, manage user privileges, and comprehend the functions and various types of user authentication within VantageCloud Lake.

Topic 3

GENERAL CONCEPTS: This portion of the exam evaluates the proficiency of database administrators, in grasping foundational relational concepts, the characteristics of relational databases, and the dimensional model.

Topic 4

DATA ARCHITECTURES: This part of the exam tests the skills of data architects in comprehending high-level concepts and key components of data lake architecture. It includes an understanding of use cases, data flow, the reasoning behind deploying data lake architectures, and the ability to identify the reasons for applying AI within this framework.

Topic 5

VANTAGECLOUD LAKE ARCHITECTURE & COMPONENTS: This segment assesses the expertise of database administrators in understanding data flow from source to consumption. It covers the features, benefits, and purpose of logical components within VantageCloud Lake.

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TeraData Associate VantageCloud Lake 2.0 Exam Sample Questions (Q51-Q56):

NEW QUESTION # 51
Which index type is most efficient for range-based queries?

A. Non-unique primary index
B. Unique secondary index
C. Unique primary index
D. Partitioned primary index

Answer: D

NEW QUESTION # 52
Which feature includes management and monitoring of analytic workflows?

A. Data Mover
B. Session Manager
C. Compute Router
D. ModelOps

Answer: D

NEW QUESTION # 53
Which is an administration task in VantageCloud Lake?

A. Setting capacity on demand limits for CPU and 10
B. Executing software upgrades
C. Provisioning compute clusters
D. Creating primary indexes in object storage

Answer: C

NEW QUESTION # 54
A transaction table tracks customer account activity. An administrator wants to ensure that every customer account number in the transaction table has a matching entry in the customer table.
Which capability makes this an appropriate use case for a relational model?

A. Referential integrity
B. Check integrity
C. Cross domain validation
D. Authenticity verification

Answer: A

NEW QUESTION # 55
A business collects sensor data from vehicles for maintenance analysis. Each model-year adds new data attributes, and occasionally obsolete attributes are dropped from the sensor data.
Which type of storage is most appropriate for this data?

A. Third-normal form relational
B. Sparse join index
C. Denormalized dimensional
D. Semi-structured JSON

Answer: D

NEW QUESTION # 56
......

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James Fisher James Fisher

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