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TeraData HCIA-Datacom V1.0 Sample Questions (Q59-Q64):
NEW QUESTION # 59
What is the maximum payload size for CSV and JSON data formats that the NOS_READ function can read, when it is based on the LATIN character set?
Answer: A
Explanation:
When using the NOS_READ function in Teradata to read data in CSV and JSON formats based on the LATIN character set, the maximum payload size that can be read is 32 MB. This limit ensures efficient processing and handling of large datasets, while also maintaining performance.
NEW QUESTION # 60
A Vantage customer is using the Hive Connector in QueryGrid to access a foreign server and push the processing onto the Hadoop Cluster. The Vantage Administrator is concerned about the performance implication of the temporary space that is consumed by these queries during execution.
What must the Vantage Administrator investigate?
Answer: D
Explanation:
When using the Hive Connector in QueryGrid to push processing onto a Hadoop cluster, queries generate temporary data that consumes spool space on the Vantage system. The temporary database name defined on the link is where this temporary data is stored during execution.
The administrator should focus on investigating the spool space allocations and configurations related to the QueryGrid link because this directly impacts performance, especially when managing large datasets or complex queries.
The other options are less relevant:
Perm space assigned to the user is not directly related to the temporary space used during query execution.
The default temporary NOS location pertains to object storage and is unrelated to Hadoop or QueryGrid processing.
Temp space assigned to the Teradata user is also less relevant, as the spool space and the QueryGrid link are the primary concerns for temporary space usage in this scenario.
NEW QUESTION # 61
An application is consuming very high I/O on Teradata Vantage. The Administrator has been asked to identify the queries that are consuming more than 100 million IOs and are suspected of completing Full Table Scans or Large Redistribution.
Which metrics should be examined for high values to identify the queries?
Answer: A
Explanation:
TOTALIOCOUNT represents the total number of I/O operations a query performs, which is crucial when trying to identify queries consuming excessive I/O (in this case, more than 100 million IOs). This directly indicates the amount of I/O a query is generating.
PJI (Product Join Index) measures whether a product join is being performed in the query, which is often associated with inefficient joins that result in large redistributions of data. A high PJI value indicates that the query might be performing a product join, leading to a significant performance hit due to large redistributions.
Option A (MAXAMPIO and PJI): MAXAMPIO refers to the maximum I/O performed by a single AMP, but TOTALIOCOUNT is a more direct indicator of the total I/O performed by a query across all AMPs.
Option C (I/O SKEW % and UII): I/O SKEW % indicates uneven distribution of I/O, which can cause performance issues, but it does not directly measure the total I/O consumption like TOTALIOCOUNT does. UII (Utility Impact Index) is relevant but not as important for identifying large I/O queries.
Option D (REQPHYSIO and UII): REQPHYSIO refers to the number of physical I/Os, but it is not as comprehensive as TOTALIOCOUNT, which includes both logical and physical I/O.
Thus, TOTALIOCOUNT (for total I/O) and PJI (to detect potential large redistributions due to product joins) are the key metrics to identify queries with high I/O and large redistributions.
NEW QUESTION # 62
How can an Administrator monitor the data volume that is transferred for a Data Mover job via Viewpoint?
Answer: C
Explanation:
The Data Mover portlet in Viewpoint provides specific functionality for managing and monitoring Data Mover jobs. By accessing the log tab within the Data Mover portlet, the Administrator can review detailed logs, including the data volume that was transferred during the job execution.
Option A (Completed Queries portlet) focuses on monitoring and analyzing completed queries but does not provide detailed insights into Data Mover jobs.
Option C (Performance Data Collection portlet) is used for monitoring system performance but is not directly related to Data Mover job details or data transfer volumes.
Option D (datamove status command) is a CLI (Command-Line Interface) method to check job status, but it is not related to monitoring the data volume within the Viewpoint environment.
NEW QUESTION # 63
An Administrator needs to restrict developers from accessing the Vantage system during the night, between 11:00PM and 05:00AM, but they are permitted to have limited access during the rest of the day.
How should the Administrator accomplish this goal?
Answer: B
Explanation:
A Planned Environment in Teradata Workload Management allows the Administrator to configure different system behaviors based on time windows. By throttling the concurrency of developer workloads to zero between 11:00 PM and 05:00 AM, the Administrator effectively restricts developers from running queries or jobs during that period. Outside of that time window, you can configure a limited concurrency for the developers.
Option A (Create a system filter): A filter can be used to restrict access based on the accountstring, but it isn't the most efficient way to handle time-based restrictions.
Option B (Create a health condition): This would involve more manual intervention and isn't designed for consistent, scheduled access control like Planned Environments.
Option C (Change workloads to have a throttle count of 0): While throttling the workload could work, Planned Environments provide a more flexible and scheduled approach for handling time-based restrictions.
NEW QUESTION # 64
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