Apple Data Integration Analyst Interview Questions

23) Explain what is Map Reduce?

Map-reduce is a framework to process large data sets, splitting them into subsets, processing each subset on a different server and then blending results obtained on each.

11) Mention what are the missing patterns that are generally observed?

The missing patterns that are generally observed are

  • Missing completely at random
  • Missing at random
  • Missing that depends on the missing value itself
  • Missing that depends on unobserved input variable
  • 12) Explain what is KNN imputation method?

    In KNN imputation, the missing attribute values are imputed by using the attributes value that are most similar to the attribute whose values are missing. By using a distance function, the similarity of two attributes is determined.

    3 What is the abbreviation of ARC?

    ARC stands for Automatic Reference Counting.

    3 Explain the lazy property in Swift?

    A lazy stored property is one that does not determine its initial value until it is used for the first time. The lazy modifier is written before the declaration of a lazy stored property.


    1 What is GCD?

    The GCD stands for Grand Central Dispatch. It is a low-level API that allows you to manage multiple concurrent operations. It will assist you in increasing the responsiveness of your app by deferring computationally intensive tasks to the context. It’s a simpler concurrency model than locks and threads to deal with.

    2 Explain a singleton class.

    When only one instance of a class is created in the application, that class is called a singleton class. See below:

    29) What are hash table collisions? How is it avoided?

    A hash table collision happens when two different keys hash to the same value. Two data cannot be stored in the same slot in array.

    To avoid hash table collision there are many techniques, here we list out two

    It uses the data structure to store multiple items that hash to the same slot.

    It searches for other slots using a second function and store item in first empty slot that is found

    Which are the top 5 skills you need to become a data architect?

    Here are the essential competences every data architect must demonstrate:

  • Strong data modeling skills;
  • Database architecture and data warehousing experience;
  • Data governance know-how;
  • Experience with Python or R, and SQL;
  • Good command of data visualization tools (for example, Tableau).
  • If you need to build up your data architect skillset, then our online Data Science program is a great place to start. You can preview the program (15 hours of video instruction) for free.

    Advanced Interview Questions

  • Strong: Through the life of the object, the reference count will be increased and the reference will be maintained
  • Weak: It can be said as a non-strong reference that means it refers to the fact that we are referring to an object but not adding to its reference count. It’s often used to establish a parent-child relationship. The parent has a strong connection with the infant, but the child has only a small connection with the parent.
  • Read-only: Initially, The property will be set and it can’t be changed.
  • Copy: It means that when an object is created, we’re copying its value. Also prevents its value from changing.
  • Top Answers to iOS Interview Questions


    Below are the three categories into which this iOS Interview Questions and Answers blog is divided: 1. Basic

    25) What are some of the statistical methods that are useful for data-analyst?

    Statistical methods that are useful for data scientist are

  • Bayesian method
  • Markov process
  • Spatial and cluster processes
  • Rank statistics, percentile, outliers detection
  • Imputation techniques, etc.
  • Simplex algorithm
  • Mathematical optimization
  • What is it like to be a System Integration Analyst? Interview with Casey Gibson

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