LATEST TDVAN5 BRAINDUMPS SHEET - TDVAN5 WELL PREP

Latest TDVAN5 Braindumps Sheet - TDVAN5 Well Prep

Latest TDVAN5 Braindumps Sheet - TDVAN5 Well Prep

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TeraData TDVAN5 Exam Syllabus Topics:

TopicDetails
Topic 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.
Topic 2
  • Integration: This section tests the skills of database administrators in utilizing integration tools like QueryGrid and NOS. It covers the benefits, features, and functionality of QueryGrid, the database objects supporting its implementation, and the performance implications of accessing NOS and foreign servers.
Topic 3
  • 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 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 (Q56-Q61):

NEW QUESTION # 56
An Administrator has been presented with these performance metrics from the DBQLOGTBL table for four queries:

The Administrator needs to identify which query is suspected to be causing a full table scan or large redistribution.
Which query is producing this result?

  • A. QRY_C because of UII
  • B. QRY_A because of PJI
  • C. QRY_B because of IO SKEW
  • D. QRY_D because of CPU SKEW

Answer: C


NEW QUESTION # 57
A web application executes millions of tactical queries on different tables of a large Vantage system, as shown below:

The most frequent query of the application is using the following SQL with this variable parameter:

The application owner requested to check for optimizations to improve the runtime of the query.
What should the Administrator suggest in this situation?

  • A. Create a sparse join index on Receiptline, with CustomerNumber as an input parameter.
  • B. ALTER the tables ProductType and OrderType to use a sparse map that includes only a subset of the AMPs.
  • C. Instead of directly accessing table Receiptline. a global temporary table should be used, that needs to contain prefiltered rows with CustomerNumber = <parameter>.
  • D. Create a NUSI on Receiptline on each of the columns: ProductTypeId, OrderTypeId, VendorId.

Answer: A

Explanation:
A sparse join index can be used to store a subset of rows from a table based on the condition of the most frequently queried parameter, in this case, CustomerNumber. By creating a sparse join index on the Receiptline table with CustomerNumber as an input parameter, the query can access a smaller subset of the data more efficiently, which can significantly improve performance, especially when millions of tactical queries are involved.
The other options are less optimal for this situation:
Create a NUSI on Receiptline: While NUSIs can improve query performance, creating NUSIs on multiple columns (e.g., ProductTypeId, OrderTypeId, VendorId) may not be as effective for improving this specific query focused on CustomerNumber.
ALTER tables ProductType and OrderType: Using a sparse map for these small tables (55 and 175 rows) wouldn't provide much benefit in terms of performance improvement, as the issue is not with these tables but with the larger Receiptline table.
Use a global temporary table: While prefiltering data in a temporary table could help in certain situations, this adds complexity and maintenance overhead. Additionally, it wouldn't necessarily offer a significant performance boost compared to a sparse join index.


NEW QUESTION # 58
An Administrator has created a new view, ViewDB.SystemMetrics, that combines and aggregates several key system metrics. The data is non-secure in nature, and the intent is for all Vantage users to have SELECT access to it.
Which statement can the Administrator execute to meet this goal?

  • A. GRANT SELECT ON ViewDB.SystemMetrics TO PUBLIC;
  • B. GRANT SELECT ON ViewDB.SystemMetrics TO DEFAULT;
  • C. GRANT SELECT ON ViewDB.SystemMetrics TO DBC;
  • D. GRANT SELECT ON ViewDB.SystemMetrics TO ALL;

Answer: A

Explanation:
PUBLIC is a special keyword in Teradata that refers to all users on the system. Granting privileges to PUBLIC will automatically apply those privileges to every user, including future users, without the need to grant permissions individually.
Option A (GRANT SELECT ON ViewDB.SystemMetrics TO ALL) is not valid because ALL is not a recognized keyword for granting privileges to all users in Teradata.
Option C (GRANT SELECT ON ViewDB.SystemMetrics TO DBC) would grant the privilege to the DBC user (the system database user), but this would not provide access to all users.
Option D (GRANT SELECT ON ViewDB.SystemMetrics TO DEFAULT) is not a valid syntax in Teradata for granting privileges.
GRANT SELECT ON ViewDB.SystemMetrics TO PUBLIC; will allow all users to have SELECT access to the view.


NEW QUESTION # 59
Which portlets contain detailed information about QueryGrid requests?

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

Answer: C

Explanation:
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.


NEW QUESTION # 60
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.ResSpsView
  • B. Check DBC.ResSpmaView
  • C. Check DBC.ResSldvView
  • D. Check DBC.ResSpdskView

Answer: A

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 # 61
......

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