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TeraData TDVAN5 Exam Syllabus Topics:
Topic
Details
Topic 1
- Performance Management: This section of the exam evaluates the skills of TeraData database administrators. It focuses on strategies for managing statistics, implementing DBQL logging, and using performance data to troubleshoot and resolve system issues.
Topic 2
- 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 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.
Topic 4
- 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 5
- 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.
TeraData HCIA-Datacom V1.0 Sample Questions (Q60-Q65):
NEW QUESTION # 60
An Administrator received reports that a high priority business intelligence (BI) report is failing. This report is a large transaction comprised of multiple SQL statements. Analysis revealed that a TASM filter is rejecting one of the SQL statements in the transaction, and this is causing the entire report to fail.
Which workload management adjustment could the Administrator take to prevent this report from failing?
- A. Add the application ID for the report to the filter Bypass list.
- B. Add exclusion criteria for multistatement requests to the filter.
- C. Define a new workload for the high priority report.
- D. Enable prevent mid-transaction throttle delay.
Answer: A
Explanation:
By adding the application ID for the high-priority report to the filter Bypass list, the TASM (Teradata Active System Management) filter will no longer reject any SQL statements from this specific report. This ensures that the entire report can execute successfully without one of its statements being blocked, thereby preventing the report from failing.
NEW QUESTION # 61
Which QueryGrid connector can only be a target?
- A. Presto
- B. Oracle
- C. Hive
- D. Teradata
Answer: B
Explanation:
In QueryGrid, the Oracle connector can only be used as a target, meaning data can be sent to an Oracle database but not sourced from it for querying in Teradata Vantage.
Hive, Presto, and Teradata connectors can act as both source and target, allowing data to be retrieved from or sent to these systems as part of a QueryGrid query.
Thus, Oracle is the connector that can only be a target in QueryGrid.
NEW QUESTION # 62
A middle-tier application server logs on to the database as TrustedUser and submits requests on behalf of application end users. The server is shared by Finance and Human Resources groups and uses ProxyUser query band to identify end users to the database. Each group needs access to its own sensitive data, so the Administrator has created two separate roles with the appropriate permissions.
What is the best way to control access to each group's sensitive data?
- A. Grant both roles to TrustedUser, and add the ProxyRole query band to specify one role.
- B. Define the roles as external and use the ProxyRole query band to specify one role.
- C. Include both roles in the grant connect through statement, and use ProxyRole in the query band to select the appropriate role.
- D. Specify the appropriate role for each end user in a grant connect through statement.
Answer: C
Explanation:
The GRANT CONNECT THROUGH statement allows the TrustedUser to act on behalf of multiple end users while securely connecting to the database. By granting both roles (Finance and Human Resources) in this statement, you allow the ProxyUser to switch between roles depending on the query band's ProxyRole value.
Using the ProxyRole query band, the application can specify which role (Finance or Human Resources) should be used for each specific request. This approach provides flexibility, as the application can dynamically assign the appropriate role to the user based on the query context.
Option A (Defining roles as external and using ProxyRole) wouldn't fully address the need to manage multiple roles dynamically for a shared server.
Option B (Granting both roles to TrustedUser) doesn't allow for flexible role switching on a per-request basis without the use of GRANT CONNECT THROUGH and could lead to over-granting of permissions.
Option C (Specifying a role for each end user in GRANT CONNECT THROUGH) isn't as flexible as allowing both roles to be used and dynamically selected through the query band.
Thus, Option D is the most appropriate solution, as it provides both security and flexibility, enabling the application to use the correct role based on the ProxyRole query band for each query submitted.
NEW QUESTION # 63
A user runs a number of large, complex queries that regularly generate insufficient memory errors. The Administrator increases the value of the MaxParseTreeSegs DBS control field in order to allocate more parse tree segments to the parser for parsing requests.
Which action must be taken before the queries will run without memory errors?
- A. Purge the request cache.
- B. Execute an OUTPUT command.
- C. Execute an Alter METHOD command for
- D. The user should log out and log back in to a new session.
Answer: D
Explanation:
When the MaxParseTreeSegs value is increased, the new settings will not take effect for existing sessions. The user must log out and log back in to start a new session where the updated configuration will be applied.
Other options are not relevant in this case.
NEW QUESTION # 64
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_1AmpSparseMap_1Node using different colocation names for each table.
- B. Assign these tables to TD_Map1 using the same colocation name for every table.
- C. Assign these tables to TD_Map1 using different colocation names for each table.
- D. Assign these tables to TD_1AmpSparseMap_1Node using the same colocation name for every table
Answer: D
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 # 65
......
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