TDVAN5 BRAIN DUMP FREE | TDVAN5 RELIABLE STUDY GUIDE

TDVAN5 Brain Dump Free | TDVAN5 Reliable Study Guide

TDVAN5 Brain Dump Free | TDVAN5 Reliable Study Guide

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Tags: TDVAN5 Brain Dump Free, TDVAN5 Reliable Study Guide, Reliable TDVAN5 Exam Dumps, Reliable TDVAN5 Braindumps Ebook, TDVAN5 Valid Study Guide

TorrentValid website is fully equipped with resources and the questions of TeraData TDVAN5 exam, it also includes the TeraData TDVAN5 exam practice test. Which can help candidates prepare for the exam and pass the exam. You can download the part of the trial exam questions and answers as a try. TorrentValid provide true and comprehensive exam questions and answers. With our exclusive online TeraData TDVAN5 Exam Training materials, you'll easily through TeraData TDVAN5 exam. Our site ensure 100% pass rate.

TeraData TDVAN5 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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.
Topic 3
  • 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.

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TeraData HCIA-Datacom V1.0 Sample Questions (Q21-Q26):

NEW QUESTION # 21
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. Instead of directly accessing table Receiptline. a global temporary table should be used, that needs to contain prefiltered rows with CustomerNumber = <parameter>.
  • B. Create a sparse join index on Receiptline, with CustomerNumber as an input parameter.
  • C. ALTER the tables ProductType and OrderType to use a sparse map that includes only a subset of the AMPs.
  • D. Create a NUSI on Receiptline on each of the columns: ProductTypeId, OrderTypeId, VendorId.

Answer: B

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 # 22
A business' operating periods are event-driven, and the batch window begins and ends at various times of the evening. The Administrator needs to configure TASM to dynamically trigger the reporting planned environment using an API call issued when the batch window ends.
Which type of event can the Administrator use to meet this requirement?

  • A. User-Defined Event
  • B. Period Event
  • C. System Event
  • D. API Event

Answer: A

Explanation:
User-Defined Event is the appropriate event type in TASM (Teradata Active System Management) for dynamically triggering actions based on custom triggers, such as the completion of an event-driven batch window. This event type allows the administrator to define specific conditions or API calls to trigger changes in the system, such as switching to a reporting planned environment.
The other options:
API Event is not a defined event type in TASM.
System Event is used for events triggered by system-level occurrences, such as system state changes or alerts, but not for custom triggers like batch window completion.
Period Event is based on predefined, fixed time intervals, which wouldn't work for the variable timing of the batch window in this scenario.


NEW QUESTION # 23
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 DEFAULT;
  • B. GRANT SELECT ON ViewDB.SystemMetrics TO PUBLIC;
  • C. GRANT SELECT ON ViewDB.SystemMetrics TO DBC;
  • D. GRANT SELECT ON ViewDB.SystemMetrics TO ALL;

Answer: B

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 # 24
An Administrator reports a power user running a query that is consuming significant CPU in a final step product join and impacting other users due to the high priority of the workload.
Upon contacting the user in the application team, they are advised that the query is a request from the CEO and needs to be completed. The team decides to remediate the situation by changing the workload to a lower priority.
Which Viewpoint portlet should be used to make this adjustment?

  • A. Workload Health
  • B. Application Queries
  • C. Workload Designer
  • D. Query Monitor

Answer: C

Explanation:
The Workload Designer portlet in Viewpoint is used to manage and adjust workloads, including setting priorities for different workloads. To address the situation where a high-priority query is consuming too many resources, the Workload Designer can be used to adjust the priority of the workload that the query belongs to, ensuring that the impact on other users is reduced while still allowing the query to complete.
The other options are less suited for adjusting workload priorities:
Application Queries is used to monitor and manage queries related to specific applications but does not provide direct options to change workload priorities.
Query Monitor allows the monitoring of active queries and possibly aborting problematic queries but does not handle workload priority changes.
Workload Health is used for monitoring the health and performance of workloads, but it is not the tool used to modify priorities.


NEW QUESTION # 25
There is a call center application that repetitively sends tactical queries to Vantage These queries use a few small tables that are joined on the primary index column.
The following maps are defined in the system:
* TD_GlobalMap
* TD_Map1
* TD_DataDictionaryMap
* TD_1AmpSparseMap_1Node
What can be done to optimize these queries?

  • A. Assign these tables to TD_Map1 using the same colocation name for every table.
  • B. Assign these tables to TD_1AmpSparseMap_1Node using different colocation names for each table.
  • C. Assign these tables to TD_1AmpSparseMap_1Node using the same colocation name for every table
  • D. Assign these tables to TD_Map1 using different colocation names for each table.

Answer: C

Explanation:
Example:
TD_1AmpSparseMap_1Node is a sparse map that assigns the data to a single AMP (or a few AMPs), and using the same colocation name ensures that the tables are collocated on the same AMP. This helps in efficient joining because no data redistribution is required between AMPs when tables are joined on the primary index.
Using different colocation names for each table (options A and D) would place the tables on different AMPs, leading to less efficient joins since data would need to be shuffled between AMPs.
TD_Map1 is a predefined map in the system but does not specifically optimize small, frequently accessed tables in the same way that TD_1AmpSparseMap_1Node does, which is more suitable for these scenarios.
Thus, using the same colocation name within the TD_1AmpSparseMap_1Node ensures that the joins are AMP-local, optimizing the repetitive tactical queries.


NEW QUESTION # 26
......

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