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試験の準備方法-ユニークなTDVAN5日本語対策問題集試験-信頼的なTDVAN5資格試験

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TeraData TDVAN5 認定試験の出題範囲：

トピック
出題範囲

トピック 1

Monitoring Vantage: This section of the exam measures the skills of IT professionals such as system administrators. It covers how to effectively use Viewpoint to investigate system conditions, monitor external queries, and administer both Viewpoint and monitored systems.

トピック 2

Database Management: This section tests the skills of database administrators in managing access rights and advanced analytic functions. It covers logging benefits, privilege types, and the impact of changing global parameters on user sessions.

トピック 3

Security Management & Auditing: This section of the exam measures the skills of such database managers. It covers the features, functionality, and benefits of access logging and advanced security configurations.

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TeraData HCIA-Datacom V1.0 認定 TDVAN5 試験問題 (Q64-Q69):

質問 # 64
Which data type could support an index definition on a table?

A. Geospatial
B. Large Object (LOB)
C. JSON
D. DATASET

正解：A

解説：
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.

質問 # 65
What is a use case for Data Mover?

A. Replicating data to a disaster recovery system
B. Copying data between Hadoop systems
C. Archiving data to a Hadoop system
D. Copying data between Vantage systems for active-active replication

正解：A

解説：
Teradata Data Mover is primarily designed to copy and replicate data between Teradata or Vantage systems. One of its common use cases is to move data to a disaster recovery system, ensuring that data is available in case of system failure or disaster, and making it a valuable tool for maintaining high availability and business continuity.
Archiving data to Hadoop and Copying data between Hadoop systems are more relevant to other tools such as Teradata QueryGrid, which integrates Vantage with Hadoop and other external systems.
Copying data between Vantage systems for active-active replication might involve Data Mover, but active-active replication typically involves more sophisticated real-time synchronization technologies like Teradata's Unity or QueryGrid.

質問 # 66
Which portlets contain detailed information about QueryGrid requests?

A. My Queries, Completed Queries, Metric Heatmap
B. Metrics Analysis, Node Monitor, Completed Queries
C. Application Queries, My Queries, Query Groups
D. Completed Queries, Query Groups, My Queries

正解：D

解説：
Completed Queries: This portlet provides details about queries that have already been executed, including those involving QueryGrid. It helps in analyzing query performance and execution details.
Query Groups: This portlet allows you to group and monitor specific queries, including QueryGrid requests, which can help in tracking performance and workload management across groups of queries.
My Queries: This portlet gives users a view of the queries they have executed, including any QueryGrid requests, making it a useful tool for tracking query status and performance.
The combination of these portlets provides comprehensive insight into QueryGrid requests, allowing administrators and users to monitor, analyze, and troubleshoot them effectively.

質問 # 67
Which privilege category is granted to a user on a newly created object?

A. Explicit
B. Ownership
C. Inherited
D. Automatic

正解：B

解説：
When a user creates an object (such as a table, view, or database), they automatically receive ownership privileges on that object. This means the creator has full control over the object, including the ability to grant or revoke access to other users, modify the object, and drop it if necessary.
Option B (Explicit) refers to privileges that are specifically granted by an owner or an administrator, but in this case, the privileges are automatically granted by virtue of object creation.
Option C (Inherited) refers to privileges a user inherits through roles or profiles, but that's not relevant to the automatic ownership granted upon object creation.
Option D (Automatic) could be misleading here. While ownership privileges are granted automatically, the correct term for the type of privilege is ownership.

質問 # 68
An analytics team uses a multibillion row table that is relevant to a great number of queries with different filters and joins. The Administrator needs to identify an effective strategy to collect statistics on this table.
Which statistics should be collected?

A. Summary
B. Sampled
C. [Dynamic AMP Sample
D. Full-table

正解：C

解説：
Dynamic AMP Sample is an efficient method for collecting statistics on large tables. It collects sample statistics from a subset of AMPs (Access Module Processors) in the system, making it much faster and less resource-intensive than collecting full-table statistics, while still providing sufficiently accurate information for the optimizer.
Full-table statistics collection would be too resource-intensive for a multibillion-row table, potentially causing performance issues due to the size of the data.
Sampled statistics might be an option, but Dynamic AMP Sample is generally preferred because it provides a more efficient and balanced approach in large distributed systems like Teradata.
Summary statistics typically apply to aggregate data rather than large, detailed tables, and would not be sufficient for query optimization across different filters and joins.
Hence, Dynamic AMP Sample is the most effective strategy in this scenario.

質問 # 69
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