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EMC Dell Data Scientist and Data Engineering Optimize 2023 Sample Questions:

1. A company needs to fill an opening for a key tactical data governance position. The new hire is to be a subject matter expert on customer data and ensure the data policies and standards are adhered to on a daily basis. This role bridges the gap between a data governance program and its execution.
What is a suitable job title for this role?

A) Data scientist
B) Data miner
C) Data steward
D) Data engineer

2. What enables Apache Spark to process data more efficiently than Hadoop's MapReduce?

A) Apache Flink is the compute engine
B) Intermediate processing data is always written to disk
C) JobTracker functionality has been replaced by YARN
D) Data is cached in memory whenever possible

3. Which of the following are components of the Apache Spark Streaming architecture? (Select all that apply)

A) Worker node
B) Driver node
C) Kafka topics
D) HDFS storage
E) Discretized streams (DStreams)

4. An organization has implemented an IoT solution in their environment to gain competitive advantage.
This solution generates huge volumes of streaming data from different sources.
The organization wants to leverage this data to provide predictive, actionable results. They need a real- time data processing tool that can process the data using a fault-tolerant, horizontally scalable method.
Which tool should the organization use?

A) Apache Ambari
B) Apache Storm
C) Apache Oozie
D) Apache Ranger

5. You are designing a database for an e-commerce data warehouse. The data is normalized in 1NF format and will be used to create data marts for different departments inside the organization.
Which schema type should be used for this requirement?

A) Graph
B) Star
C) Columnar
D) Highly Normalized

Solutions: