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TDVAN5 Exam Actual Questions & TDVAN5 Dumps Vce

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TeraData HCIA-Datacom V1.0 Sample Questions (Q38-Q43):

NEW QUESTION # 38
Which statement accurately characterizes privileges?

A. Databases have privileges on all objects created within them without the need for explicit grants.
B. Granting a privilege at the user level does not affect DBC.AccessRights.
C. Granting a privilege at the database level automatically causes that privilege to be inserted in DBC.AccessRights for each object contained in the database.
D. Users have no privileges on any objects they create unless specific grants are made.

Answer: C

Explanation:
When a privilege is granted at the database level, it applies to all objects within the database, and this is reflected in DBC.AccessRights, which tracks access rights for users and roles on specific objects.

NEW QUESTION # 39
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 ALL;
B. GRANT SELECT ON ViewDB.SystemMetrics TO DBC;
C. GRANT SELECT ON ViewDB.SystemMetrics TO DEFAULT;
D. GRANT SELECT ON ViewDB.SystemMetrics TO PUBLIC;

Answer: D

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 # 40
The Administrator defined the following AWT resource limits in Viewpoint Workload Designer:
* Rule 1: A limit of 50 percent of AWTs for all DSA restore jobs in the system, with reject
* Rule 2: A limit of 20 percent of AWTs for DSA restore jobs from user UserA, with delay
* Rule 3: A limit of 10 percent of AWTs for DSA restore jobs from user UserB, with delay UserB is running DSA restore jobs, consuming 10% of AWTs. Other users are running DSA restore jobs and consuming 40% of AWTs.
What will TASM do if UserA submits a DSA restore job request?

A. TASM delays it because it would exceed the AWT limit of Rule 1.
B. TASM rejects it because it does not exceed the AWT limit of Rule 2.
C. TASM rejects it because it would exceed the AWT limit of Rule 1.
D. TASM delays it because it does not exceed the AWT limit of Rule 2.

Answer: A

Explanation:
Rule 1 limits all DSA restore jobs in the system to 50% of AWTs. Currently, 40% of AWTs are consumed by other users, and UserB is consuming 10%. So, the total AWT usage is already at the 50% limit.
Since submitting a new DSA restore job from UserA would exceed the 50% limit set in Rule 1, TASM will delay the request, as Rule 1 applies system-wide.
Rule 2 applies specifically to UserA, but Rule 1 takes precedence since the total system AWT usage is already at the global 50% threshold.
Thus, TASM delays the job because it would violate the global AWT limit in Rule 1.

NEW QUESTION # 41
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. BYNET
B. Parallelism
C. CPU
D. I/O

Answer: D

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 # 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. ALTER the tables ProductType and OrderType to use a sparse map that includes only a subset of the AMPs.
B. Create a NUSI on Receiptline on each of the columns: ProductTypeId, OrderTypeId, VendorId.
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 sparse join index on Receiptline, with CustomerNumber as an input parameter.

Answer: D

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
......

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