Data Architecture

Data Architecture

Professional Development

12 Qs

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Data Architecture

Data Architecture

Assessment

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Professional Development

Professional Development

Practice Problem

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12 questions

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1.

MULTIPLE CHOICE QUESTION

1 min • 5 pts

Which of the following best describes a Data Lake?

A structured database optimized for OLTP transactions

A centralized repository for unstructured data at any scale

A collection of tables with predefined schemas

A data warehouse designed for business intelligence

2.

MULTIPLE CHOICE QUESTION

1 min • 5 pts

What technology is commonly used for data integration in modern data architectures?

ETL (Extract, Transform, Load)

SQL (Structured Query Language)

OLAP (Online Analytical Processing)

CSV (Comma-Separated Values)

3.

MULTIPLE CHOICE QUESTION

1 min • 5 pts

What is a primary benefit of using a Data Warehouse?

Direct integration with cloud storage solutions

Enhanced data analytics and reporting capabilities

Support for large volumes of unstructured data

Real-time data processing

4.

MULTIPLE CHOICE QUESTION

1 min • 5 pts

Which of the following is a key characteristic of NoSQL databases?

They use fixed schemas

They are designed for horizontal scalability

They are primarily used for OLTP systems

They support only SQL queries

5.

MULTIPLE CHOICE QUESTION

1 min • 5 pts

What is the primary difference between ETL and ELT?

ETL processes data after loading, while ELT transforms data before loading

ELT processes data in the target system, whereas ETL transforms data before loading

ETL is faster than ELT in cloud environments

ELT is not used in modern data architectures

6.

MULTIPLE CHOICE QUESTION

1 min • 5 pts

What is a common challenge faced when implementing a Data Warehouse?

High costs of cloud storage

Inability to handle structured data

Limited data storage capacity

Data redundancy and inconsistency

7.

MULTIPLE CHOICE QUESTION

1 min • 5 pts

What is a key advantage of using cloud-based data storage solutions?

Mandatory data encryption at rest

Lower latency for data retrieval

Scalability and flexibility in resource allocation

Increased physical security of data centers

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