Teradata has a significant presence in the data management and analytics industry. If you are an aspiring professional aiming for a Teradata career? Well, you’ve landed the right article. This article offers a list of industry-designed Teradata interview questions to help you ace your job interview. You will learn all the key concepts related to Teradata in this interview questions list.
If you're looking for Teradata Interview Questions for Experienced or Freshers, you are in the right place. There are a lot of opportunities from many reputed companies in the world. According to research, Teradata has a market share of about 9.8%. So, You still have the opportunity to move ahead in your career in Teradata. Mindmajix offers Advanced Teradata Interview Questions 2024 that helps you in cracking your interview & acquire a dream career as Teradata Developer.
Ans: There are 4 types of LOCKS are there in Teradata, they are:
Read Lock, Access Lock, Exclusive Lock, Write Lock.
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Ans: Using RELEASE MLOAD. It removes access locks from the target tables in Teradata. It must be entered from BTEQ and not from MultiLoad. To proceed, you can do RELEASE MLOAD.
Ans: Group by those fields and select id, count(*) from table group by id having count (*) > 1.
Ans: I use an explanatory statement to check if the query is doing what I wanted it to do.
Ans: UPPER Function is used to convert all characters in a column to the same characters in the upper case.
Ans: The LOWER function is used to convert all characters in a column to lower case characters.
Ans: By using the show table command.
Ans: With more duplicates GROUP BY is more efficient, if only a few duplicates exist DISTINCT is more efficient.
Ans: CASE value_expression_1 WHEN value_expression_n THEN scalar_expression_n END;
Ans: TIMESTAMP (0) is CHAR (19) and TIMESTAMP (6) is CHAR (26)
Everything is the same except that TIMESTAMP (6) has microseconds too.
Ans: Node is a database running in a server. We used 318 nodes and each node has 2 to 4 AMPS.
Ans: a clique is a group of disk arrays physically cabled to a group of nodes.
Ans: FastLoad uses multiple sessions to quickly load large amounts of data on an empty table. MultiLoad is used for high-volume maintenance on tables and views. It works with non-empty tables also. A maximum of 5 tables can be used in MultiLoad.
|Related Article: Teradata Tutorials for Beginners
Ans: No. I have not used procedures. But I have expertise in knowledge writing procedures. My company has not encouraged me to write procedures because it becomes a single AMP operation, as such uses a lot of resources and is expensive in terms of resources and time.
Ans: An index is a mechanism that can be used by the SQL query optimizer to make table access more performant. Indexes enhance data access by providing a more-or-less direct path to stored data and avoiding the necessity to perform full table scans to locate the small number of rows you typically want to retrieve or update.
Ans: The primary index is the mechanism for assigning a data row to an AMP and a location on the AMP’s disks. Indexes also used to access rows from a table without having to search the entire table.
Secondary indexes enhance set selection by specifying access paths less frequently used than the primary index path.
Secondary indexes are also used to facilitate aggregate operations. If a secondary index covers a query, then the Optimizer determines that it would be less costly to access its rows directly rather than using it to access the base table rows it points to. Sometimes multiple secondary indexes with low individual selectivity can be overlapped and bit-mapped to provide enhanced
Ans: Refer answer to the previous question.
Ans: Creating a secondary index causes Teradata to build a sub-table to contain its index rows, thus adding another set of rows that requires updating each time a table row is inserted, deleted, or updated. Secondary index sub-tables are also duplicated whenever a table is defined with FALLBACK, so the maintenance overhead is effectively doubled.
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Ravindra Savaram is a Technical Lead at Mindmajix.com. His passion lies in writing articles on the most popular IT platforms including Machine learning, DevOps, Data Science, Artificial Intelligence, RPA, Deep Learning, and so on. You can stay up to date on all these technologies by following him on LinkedIn and Twitter.
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