Data Consolidation and Analytics Quiz Questions and Answers
Option 1: Cloud Storage
Option 2: BigQuery.
Option 3: Looker
Option 4: Cloud SQL
The Correct Answer for Q1 is Option 2
Q2. Lydia manages a large hotel chain. How can Looker enable Lydia to better serve her customers? Select the correct answer.
Option 1: She can use it to create real-time dashboards.
Option 2: She can use it to containerize important metrics.
Option 3: She can use it to commercialize important metrics for customers.
Option 4: She can use it to create standard static dashboards.
The Correct Answer for Q2 is Option 1
Q3. What is a data lake? Select the correct answer.
Option 1: A decentralized repository of structured and unstructured data.
Option 2: A large pool of data accessible to database administrators only.
Option 3: A repository of raw data and tends to hold ‘back up’ data.
Option 4: A refined data repository accessible by employees and select customers.
The Correct Answer for Q3 is Option 3
Q4. Which of the following is an advantage for storing and managing data in the public cloud? Select the two correct answers.
Option 1: Increased coverage.
Option 2: Increased CapEx.
Option 3: Increased data structure.
Option 4: Elasticity.
Option 5: Speed.
The Correct Answer for Q4 is Option 4, Option 5
Q5. How is data integrity achieved? Select the two correct answers.
Option 1: Through ongoing error checking and validation routines as data is collected.
Option 2: By fully migrating all types of data into a database.
Option 3: By including all types of data regardless of type.
Option 4: By converting all unstructured data into structured data.
Option 5: By implementing a set of rules when a database is first designed.
The Correct Answer for Q5 is Option 1, Option 5
Q6. How do databases and data warehouses differ? Select the correct answer.
Option 1: Databases efficiently process structured data, while data warehouses rapidly process unstructured data.
Option 2: Databases efficiently ingest large amounts of real-time data, while data warehouses rapidly analyze multi-dimensional datasets.
Option 3: Data warehouses efficiently process structured data, while databases rapidly process software data.
Option 4: Data warehouses efficiently ingest large amounts of real-time data, while databases rapidly analyze large, multi-dimensional datasets.
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