Big Data vs Data Lake — Learn free

Self-check

Questions 1–10 of 10

1. How is Big Data best characterised in relation to a data lake?
Question 1A. Big Data is a single storage system; the data lake is its query engineB. Big Data is the broader ecosystem and paradigm; the data lake is a specific repository within itC. Big Data is a subset of the data lakeD. They are two names for the same thingE. Big Data is a vendor product; the data lake is open source
2. Which challenges did the Big Data ecosystem arise to address?
Question 2A. The three Vs: volume, velocity and varietyB. Table locking in OLTPC. Cross-border data storageD. Slow tape archivesE. Encryption key management
3. Which of the following belongs to the Big Data toolbox rather than being the data lake itself?
Question 3A. A raw transaction log archiveB. Cloud object storageC. Spark, Kafka and NoSQL databasesD. A schema-on-read repositoryE. Historical feature data sets
4. What does the data lake embody as one of Big Data's core principles?
Question 4A. The ability to enforce a predefined model before loadingB. The ability to capture everything without forcing predefined modelsC. The ability to run ACID transactionsD. The ability to encrypt everything at restE. The ability to process only structured data
5. In terms of purpose, how do Big Data and a data lake differ?
Question 5A. Big Data provides cheap storage; the data lake solves scale and speedB. Big Data focuses on solving the challenges of scale, speed and diversity; the data lake provides a place to store all forms of data cheaply and flexiblyC. Both focus only on real-time streamingD. Big Data is for governance; the data lake is for analyticsE. Big Data is for structured data; the data lake is for unstructured data only
6. On what is a data lake usually built?
Question 6A. A relational database with star schemasB. HDFS or cloud object storage with query engines layered on topC. An in-memory cacheD. A message queueE. A tape library
7. In the streaming fraud detection example, which component belongs to the data lake rather than the Big Data ecosystem?
Question 7A. Kafka for real-time ingestionB. Spark for processingC. NoSQL databases for rapid lookupsD. Raw transaction logs, enriched data sets and historical features used to train modelsE. The banking application itself
8. Which misconception does understanding the Big Data versus data lake distinction help avoid?
Question 8A. That data lakes require 3NFB. That simply building a data lake equals doing Big DataC. That Big Data cannot use SQLD. That Kafka is a storage systemE. That warehouses are obsolete
9. How does the evolution of Big Data relate to data lakes?
Question 9A. Data lakes were invented first and led to Big DataB. Big Data drove the innovation that made data lakes possible, and lakes became the storage foundation for modern analytics, machine learning and AIC. They evolved independently and only later convergedD. Data lakes replaced Big Data once Hadoop declinedE. Neither influenced the other
10. Which of the following is NOT listed as a type of new database introduced by the Big Data movement?
Question 10A. NoSQLB. GraphC. DocumentD. ColumnarE. Hierarchical