Data Analytics Program Quiz 6

Data Analytics Quiz 6

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1. Which cloud-based tool is specifically designed for high-speed querying of large datasets?

Google BigQuery

AWS Lambda

Apache Kafka

Microsoft Power BI

2. What is a key application of text and sentiment analysis?

Predicting stock prices based on numerical data

Analyzing structured financial transactions

Understanding customer opinions from social media reviews

Detecting hardware failures in manufacturing

3. Which of the following is a fundamental characteristic of time-series data?

Observations are recorded in a sequence over time

The dataset contains only categorical variables

Data points are collected at random intervals

Values remain constant over time

4. What is a major challenge of working with unstructured data?

It cannot be stored in cloud environments

It is always more accurate than structured data

It does not require preprocessing before analysis

It lacks a predefined schema, making analysis more complex

5. Which of the following best describes Big Data?

Small, well-structured datasets used for simple analytics

High-volume, high-velocity, and high-variety data

Large datasets that are only stored in relational databases

Data that can be easily analyzed using Excel

6. What is a key advantage of managing large-scale datasets in cloud environments?

Cloud-based solutions automatically generate insights without user input

They provide scalable storage and processing power for massive data volumes

Large-scale datasets do not require optimization in the cloud

Cloud computing removes the need for distributed computing frameworks

7. Which distributed computing framework is best suited for processing large datasets in parallel?

Tableau

PostgreSQL

Hadoop

Microsoft Excel

8. What is the primary benefit of using Apache Spark over Hadoop MapReduce?

Spark requires less computational power than Hadoop

Spark does not support machine learning tasks

Spark processes data in-memory, making it significantly faster

Spark is limited to batch processing only

9. Which technique is commonly used in time-series analysis for forecasting future values?

Decision trees

ARIMA (AutoRegressive Integrated Moving Average)

Principal Component Analysis

k-means clustering

10. How does sentiment analysis typically classify text data?

By focusing only on numerical data points

By identifying positive, negative, or neutral sentiments

By analyzing word frequency alone

By detecting sentence length

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Data Analytics Program Quiz 6

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