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Global tech market knows the importance of big data analytics to drive meaningful insights and customer engagement. Thousands of aspiring data professionals are highly interested to work with eminent companies to deal with big data analytics every day. Hi-tech companies such as Apple and Amazon are recruiting data professionals through multiple interview questions on big data. Thus, aspiring candidates always seek to know about questions asked in interviews at Apple. Apple interviews have different steps— preliminary phone screening, interview, brief technical screening, take-home assignment, and an on-site interview. Let's explore some of the top ten big data analytics questions being asked in Apple interviews.
1. Explain the meaning and calculation of ACF and PACF.
2. Describe the process of how XGBoost manages the bias-variance trade-off?
3. Mention the function to detect if a binary tree is a mirror image on the right and left sub-trees.
4. Explain the differences between HDFS and YARN with their respective components.
5. Mention the five Vs of big data analytics with proper explanation.
6. Define characteristics of some important big data analytics tools used in a tech company.
7. Are Hadoop and big data related? Briefly explain.
8. What are different file formats to be used in Hadoop?
9. Explain the goal of A/B Testing.
10. What are the differences between HDFS Block and Input Split?
There is a number of interview questions asked on big data in Apple interviews. Aspiring data professionals at Apple must have a deep understanding of big data analytics as well as practical experience in data management using data analytics tools. This will help in answering big data analytics questions in interviews at Apple.
Here are some answers to the top ten big data analytics questions mentioned above. This will help in cracking Apple interviews easily.
Answer: HDFS is a short-term for Hadoop Distributed File System and is popular for being highly fault-tolerant as well as providing file permissions and authentications efficiently. There are three core elements in HDFS— NameNode, Secondary NameNode, and DataNode.
YARN is known as an integral part of Hadoop 2.0 and short-term for Yet Another Resource Negotiator. It is used as a resource management layer of Hadoop for multiple data processing engines. There are two core elements in YARN— ResourceManager, and NodeManager.
Answer: This is one of the common interview questions on big data in interviews at Apple. The five Vs are valued, variety (data in many forms), veracity (data in doubt), velocity (data in motion), and volume (data at rest).
Answer: There are different file formats of Hadoop and one should also know some of the features for cracking Apple interviews. File formats include CSV, JSON, AVRO, Parquet file, Columnar, and Sequence files.
Answer: One of the top big data analytics questions is to have knowledge of A/B Testing for Apple interviews. Two or more variants of a page are presented before random users to observe the performance of each variation.
That being said, one can ask the recruiter about a particular area in on-site interviews. There are multiple focus areas such as analytics, model-building, machine learning, etc.
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