PASS GUARANTEED QUIZ TERADATA MARVELOUS TDVAN5 - EXAM HCIA-DATACOM V1.0 VOUCHER

Pass Guaranteed Quiz TeraData Marvelous TDVAN5 - Exam HCIA-Datacom V1.0 Voucher

Pass Guaranteed Quiz TeraData Marvelous TDVAN5 - Exam HCIA-Datacom V1.0 Voucher

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PrepAwayExam's TeraData TDVAN5 web-based and desktop practice tests provide you with an TeraData actual test scenario, allowing you to experience the TDVAN5 final test conditions. Customizable TeraData TDVAN5 Practice Tests (desktop and web-based) allow you to change the time and quantity of TeraData TDVAN5 practice questions.

TeraData TDVAN5 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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.
Topic 3
  • 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.
Topic 4
  • User Administration: This section evaluates the skills of system administrators in meeting user security requirements through roles and proxy access configurations. Candidates will also learn about the functionality and benefits of profiles, as well as the key attributes that should be set for a new user.

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TeraData HCIA-Datacom V1.0 Sample Questions (Q40-Q45):

NEW QUESTION # 40
A Vantage customer is using the Hive Connector in QueryGrid to access a foreign server and push the processing onto the Hadoop Cluster. The Vantage Administrator is concerned about the performance implication of the temporary space that is consumed by these queries during execution.
What must the Vantage Administrator investigate?

  • A. Perm space assigned to the user executing the QueryGrid query
  • B. Temp space assigned to the Teradata user defined in the authorization object
  • C. Spool space and temporary database name defined on the link
  • D. The default temporary NOS location defined on the connector

Answer: C

Explanation:
When using the Hive Connector in QueryGrid to push processing onto a Hadoop cluster, queries generate temporary data that consumes spool space on the Vantage system. The temporary database name defined on the link is where this temporary data is stored during execution.
The administrator should focus on investigating the spool space allocations and configurations related to the QueryGrid link because this directly impacts performance, especially when managing large datasets or complex queries.
The other options are less relevant:
Perm space assigned to the user is not directly related to the temporary space used during query execution.
The default temporary NOS location pertains to object storage and is unrelated to Hadoop or QueryGrid processing.
Temp space assigned to the Teradata user is also less relevant, as the spool space and the QueryGrid link are the primary concerns for temporary space usage in this scenario.


NEW QUESTION # 41
A customer is complaining that the creation of a large table in the lab environment is getting stuck in the merge step. The customer is using the following command to create the table:
CREATE TABLE ... AS (SELECT * ...) WITH DATA
Which recommendation will help the merge step?

  • A. The MERGEBLOCKRATIO should be specified for the table to improve the data block merge operation.
  • B. Users of the lab may have lower priority than other workloads, so the creation of the table should be moved to off-peak hours.
  • C. The table should be created with "CREATE TABLE ... AS (SELECT *...) WITH NO DATA", and afterwards, "INSERT ... SELECT *" should be used to fill the table.
  • D. A column that provides good distribution should be specified as PRIMARY INDEX.

Answer: C

Explanation:
Merge step issues often occur when a large amount of data is being processed during the table creation, especially if the system is trying to simultaneously create the table and insert data.
By using "WITH NO DATA", the table structure is created first, without the actual data being inserted during the table creation process. The *"INSERT ... SELECT " command can then be used afterwards to populate the table in a more controlled way, reducing the load on the system during the creation phase and potentially improving the efficiency of the merge step.
Specifying a good distribution for the primary index can help overall performance, but it doesn't directly address the issue with the merge step in this scenario.
Specifying the MERGEBLOCKRATIO isn't typically a solution for this specific problem; the merge block ratio is more about the optimization of data block merges rather than the creation of tables.
Moving the creation to off-peak hours may help if the environment is busy, but it doesn't directly address the core issue of the merge step getting stuck.


NEW QUESTION # 42
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.ResSpmaView
  • B. Check DBC.ResSpdskView
  • C. Check DBC.ResSpsView
  • D. Check DBC.ResSldvView

Answer: C

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 # 43
Which compression format is supported by NOS?

  • A. Snappy
  • B. BZIP
  • C. ZLIB
  • D. ORC

Answer: A

Explanation:
NOS (Native Object Store) supports data compression formats such as Snappy for efficient storage and retrieval of data.
ORC (Optimized Row Columnar) is a file format, not a compression format.
ZLIB is a compression library but is not the primary format used in NOS.
BZIP is a compression format, but it is not widely supported by NOS compared to Snappy.


NEW QUESTION # 44
A group of batch queries that rely on QueryGrid to source data from a cloud Vantage system has failed and requires urgent investigation.
Which Viewpoint portlet should be used to initially investigate the reason for this problem?
A group of batch queries that rely on QueryGrid to source data from a cloud Vantage system has failed and requires urgent investigation.
Which Viewpoint portlet should be used to initially investigate the reason for this problem?

  • A. Completed Queries
  • B. Productivity
  • C. Query Spotlight
  • D. Alert Viewer

Answer: D

Explanation:
The Alert Viewer portlet in Viewpoint is designed to show system alerts and failures. Since the issue is urgent and involves failed queries using QueryGrid, the Alert Viewer is the appropriate place to start the investigation. It will display any alerts or failures related to QueryGrid, system connectivity, or resource constraints, providing insight into what might have caused the batch queries to fail.
Option A (Query Spotlight) is more focused on analyzing the performance of individual queries but may not directly highlight system or connection issues related to QueryGrid failures.
Option C (Productivity) gives insights into system usage and workload management, but it's not the primary tool for troubleshooting failed queries.
Option D (Completed Queries) shows details about successfully completed queries but is not the best place to start for investigating failed queries that require urgent attention.


NEW QUESTION # 45
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