Associate TDVAN5 Level Exam & Free TDVAN5 Test Questions
Associate TDVAN5 Level Exam & Free TDVAN5 Test Questions
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TeraData TDVAN5 Exam Syllabus Topics:
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TeraData HCIA-Datacom V1.0 Sample Questions (Q42-Q47):
NEW QUESTION # 42
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 NUSI on Receiptline on each of the columns: ProductTypeId, OrderTypeId, VendorId.
- B. ALTER the tables ProductType and OrderType to use a sparse map that includes only a subset of the AMPs.
- C. Create a sparse join index on Receiptline, with CustomerNumber as an input parameter.
- D. Instead of directly accessing table Receiptline. a global temporary table should be used, that needs to contain prefiltered rows with CustomerNumber = <parameter>.
Answer: C
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 # 43
An update of a very large table was in progress when the system experienced an unplanned restart. After restarting, the system is available, but Recovery Manager shows it may be many hours before a large table is available for use. The Administrator needs to make the table available sooner.
Which option should be used to achieve this goal?
- A. Cancel the rollback, and restore the table from backup.
- B. Use MultiLoad to execute a DROP of the table, and restore it from backup.
- C. Drop the transaction journal, and set RollbackPriority to TRUE.
- D. Use Workload Manager to elevate the rollback to the SLG tier.
Answer: A
Explanation:
When a system experiences an unplanned restart during an update operation, the rollback process can take a significant amount of time, especially for very large tables. Canceling the rollback will stop the system from attempting to undo the incomplete transactions.
After canceling the rollback, the table can be restored from a backup, which is a much faster way to recover the table and make it available for use again.
The other options are less effective:
Use Workload Manager to elevate the rollback to the SLG tier: While this may prioritize the rollback, it doesn't significantly reduce the time required for a large table rollback.
Use MultiLoad to execute a DROP of the table, and restore it from backup: MultiLoad is not typically used for dropping tables, and this adds unnecessary complexity.
Drop the transaction journal, and set RollbackPriority to TRUE: Dropping the transaction journal could lead to data inconsistencies, and setting RollbackPriority to TRUE does not directly make the table available sooner.
NEW QUESTION # 44
On a Vantage system, the data load process has recently become much slower than normal and is now running for two hours in low concurrency. During the time the process is running, the Administrator measured the following average values from ResUsage:
System CPU busy = 75%
WIO = 25%
Inter-AMP parallelism = 90%
Average BYNET usage = 10%
Which resource is most constrained?
- A. I/O
- B. BYNET
- C. CPU
- D. Parallelism
Answer: A
Explanation:
WIO (Work in I/O) is at 25%, which indicates that the system is spending a significant amount of time waiting for I/O operations to complete. This suggests that I/O is the most constrained resource in this scenario. A high WIO typically points to I/O bottlenecks, causing delays in processes like data loading.
The other resources appear to be less constrained:
CPU: The system is busy with 75% CPU usage, which indicates the CPU has available capacity (not fully utilized).
BYNET: With 10% BYNET usage, there is no indication of network congestion.
Parallelism: Inter-AMP parallelism is at 90%, which suggests that parallel processing is functioning well and not the bottleneck.
Thus, the data load slowdown is likely due to I/O constraints, making I/O the most constrained resource in this case.
NEW QUESTION # 45
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. Users of the lab may have lower priority than other workloads, so the creation of the table should be moved to off-peak hours.
- B. The MERGEBLOCKRATIO should be specified for the table to improve the data block merge operation.
- C. A column that provides good distribution should be specified as PRIMARY INDEX.
- D. The table should be created with "CREATE TABLE ... AS (SELECT *...) WITH NO DATA", and afterwards, "INSERT ... SELECT *" should be used to fill the table.
Answer: D
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 # 46
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. Define the roles as external and use the ProxyRole query band to specify one role.
- B. Specify the appropriate role for each end user in a grant connect through statement.
- C. Include both roles in the grant connect through statement, and use ProxyRole in the query band to select the appropriate role.
- D. Grant both roles to TrustedUser, and add the ProxyRole query band to specify one role.
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 # 47
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