100% satisfaction guarantee Immediately available after payment Both online and in PDF No strings attached
logo-home
(ASU) CSE 511 Data Processing at Scale - Knowledge Assessment Review $14.49   Add to cart

Exam (elaborations)

(ASU) CSE 511 Data Processing at Scale - Knowledge Assessment Review

 4 views  0 purchase

(ASU) CSE 511 Data Processing at Scale - Knowledge Assessment Review (ASU) CSE 511 Data Processing at Scale - Knowledge Assessment Review (ASU) CSE 511 Data Processing at Scale - Knowledge Assessment Review

Preview 3 out of 30  pages

  • September 6, 2024
  • 30
  • 2024/2025
  • Exam (elaborations)
  • Unknown
All documents for this subject (21)
avatar-seller
emiliophd
CSE 511



Data Processing at Scale




KNOWLEDGE ASSESSMENT
REVIEW




© ASU 2024/2025

,1. Multiple Choice: What is the primary benefit of using
MapReduce in large-scale data processing?
a) Data redundancy
b) Parallel processing
c) Data security
d) Simplified querying
Answer: b) Parallel processing
Rationale: MapReduce allows for the distribution of large data
processing tasks across multiple systems, which can work on the
tasks concurrently, significantly speeding up processing times.


2. Fill-in-the-Blank: In distributed computing, _________ refers to
the practice of dividing a large dataset into smaller chunks to be
processed in parallel.
Answer: Sharding
Rationale: Sharding is a type of database partitioning that
separates very large databases into smaller, faster, more easily
managed parts called data shards.




© ASU 2024/2025

, 3. True/False: Hadoop is an ideal solution for real-time data
processing.
Answer: False
Rationale: Hadoop is designed for high-throughput rather than
low-latency, making it better suited for batch processing rather than
real-time processing.


4. Multiple Response: Which of the following are characteristics of
a Data Lake?
a) Schema-on-read
b) Schema-on-write
c) Data in its raw form
d) Fixed configuration
Answers: a) Schema-on-read, c) Data in its raw form
Rationale: Data lakes store raw data without a predefined
schema, allowing for the schema to be defined when the data is
read, which provides flexibility in data analysis.


5. Multiple Choice: Which algorithm is commonly used for sorting
large datasets in a distributed system?
a) Quick sort
b) Bubble sort
c) Merge sort
© ASU 2024/2025

The benefits of buying summaries with Stuvia:

Guaranteed quality through customer reviews

Guaranteed quality through customer reviews

Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.

Quick and easy check-out

Quick and easy check-out

You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.

Focus on what matters

Focus on what matters

Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!

Frequently asked questions

What do I get when I buy this document?

You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.

Satisfaction guarantee: how does it work?

Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.

Who am I buying these notes from?

Stuvia is a marketplace, so you are not buying this document from us, but from seller emiliophd. Stuvia facilitates payment to the seller.

Will I be stuck with a subscription?

No, you only buy these notes for $14.49. You're not tied to anything after your purchase.

Can Stuvia be trusted?

4.6 stars on Google & Trustpilot (+1000 reviews)

72964 documents were sold in the last 30 days

Founded in 2010, the go-to place to buy study notes for 14 years now

Start selling
$14.49
  • (0)
  Add to cart