01
Front
What is Amazon Redshift designed for?
Back
Amazon Redshift is a relational data warehouse designed for analytical queries over large datasets.
Free Online Flashcard Deck
5 Amazon Redshift in Practice Free Online FlashCards
Study 5 Amazon Redshift in Practice with 12 free online flashcards. Review key terms, definitions, and concepts with this interactive flashcard deck.
12 cards
02
Front
What helps Redshift analyze large datasets efficiently?
Back
Its massively parallel processing, columnar storage, and compression help it scan and aggregate data efficiently.
03
Front
What is an operational database for?
Back
An operational database supports an application's day-to-day activity, such as updating an order or recording a payment.
04
Front
What does a data warehouse support?
Back
A data warehouse answers analytical questions across many records, often by reading and aggregating large volumes of data.
05
Front
What does OLTP describe?
Back
OLTP means online transaction processing: workloads that support day-to-day application operations.
06
Front
What does OLAP describe?
Back
OLAP means online analytical processing: workloads that answer broad questions by reading and summarizing data.
07
Front
Why is Redshift not usually an application's primary transaction database?
Back
Redshift can insert and update rows, but it is optimized for analytics and reporting, not frequent, low-latency application transactions.
08
Front
What does a fact table record?
Back
A fact table records events, such as sales.
09
Front
Why use COPY for bulk loading into Redshift?
Back
COPY is the preferred approach for bulk loading because Redshift can load data in parallel; it is generally more efficient than many row-by-row inserts.
10
Front
What access does Redshift need to load a file from S3?
Back
The IAM role given to Redshift must permit access to the S3 bucket containing the data.
11
Front
What does IGNOREHEADER 1 do in a COPY command?
Back
In a COPY command, IGNOREHEADER 1 skips the first row, which can contain CSV column headings.
12
Front
How can a query calculate revenue separately for each region?
Back
GROUP BY region lets a query calculate a separate total for each region; summing quantity multiplied by unit price gives regional revenue.
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