You have to pass the EBDE exam to receive the certification from APMG International. To increase the effectiveness of your study and make you familiar with the actual exam pattern, we have prepared this APMG International Enterprise Big Data Engineer sample questions. Our Sample APMG International Enterprise Big Data Engineer Practice Exam will give you more insight about both the type and the difficulty level of the questions on the APMG International Enterprise Big Data Engineer exam.
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APMG International Enterprise Big Data Engineer Sample Questions:
01. What is a critical strategy for fostering a culture of data privacy and security within an organization?
a) Reducing employee access to all systems
b) Providing regular training and clear policies on data privacy practices
c) Automating all data governance tasks
d) Eliminating redundant compliance processes
02. How does partitioning improve data pipeline efficiency?
a) By automating ingestion processes
b) By eliminating the need for transformation
c) By dividing data into smaller, more manageable chunks
d) By reducing data duplication
03. Which component of a feature store is responsible for serving features to machine learning models?
a) Serving
b) Monitoring
c) Storage
d) Transformation
04. In a Data Fabric architecture, what is the main responsibility of the data integration layer?
a) Managing machine learning workflows
b) Consolidating and transforming data from multiple sources
c) Storing raw, unprocessed data
d) Ensuring schema enforcement
05. Which architecture prioritizes scalability and accessibility across hybrid environments?
a) Data Lake
b) Relational Data Warehouse
c) Data Mesh
d) Data Fabric
06. What distinguishes a snowflake schema from a star schema in data warehousing?
a) Snowflake schemas have normalized dimensions, while star schemas use denormalized dimensions.
b) Snowflake schemas are more storage-intensive than star schemas.
c) Star schemas support unstructured data, while snowflake schemas do not.
d) Snowflake schemas eliminate the need for fact tables.
07. Why are NoSQL databases considered highly scalable?
a) They rely on fixed schemas.
b) They support distributed architectures.
c) They eliminate the need for data replication.
d) They limit data storage to single nodes.
08. Which type of consistency is suitable for applications requiring real-time updates?
a) Latent consistency
b) Weak consistency
c) Strong consistency
d) Eventual consistency
09. How does indexing improve database performance?
a) By speeding up query retrieval times
b) By duplicating data across tables
c) By reducing table size
d) By automating schema design
10. What stage of the data lifecycle involves integrating and transforming raw data into usable formats?
a) Data collection
b) Data ingestion
c) Data transformation
d) Data visualization
Answers:
Question: 01
Answer: b |
Question: 02
Answer: c |
Question: 03
Answer: a |
Question: 04
Answer: b |
Question: 05
Answer: d |
Question: 06
Answer: a |
Question: 07
Answer: b |
Question: 08
Answer: c |
Question: 09
Answer: a |
Question: 10
Answer: c |
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