Integration Engineer Interview Questions

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1. Integrate the Branch SDK a. Follow the SDK integration steps outlined here. b. Set up routing to specific monster based on params returned in onInitFinished. 2. Set up custom event tracking, link creation, and content sharing a. Track that the user visited the monster edit page (call event "monster_edit") on the MonsterCreatorActivity 1 b. Track that the user visited the monster view page (call event "monster_view") on the MonsterViewerActivity. This time, include state information (specified in `myMonsterObject.monsterMetaData()`) c. Using an asynchronous method inside `initUI()`, get a shortURL with params, using the static keys provided in `MonsterPreferences` and the values from `myMonsterObject.prepareBranchDict()`. Put that URL into the `monsterUrl` TextView, and be sure to move the`progressBar.setVisibility(View.GONE);` inside the completionhandler d. Inside `shareMyMonster`, get a short URL with params. Get the params from `myMonsterObject.prepareBranchDict()`, set the channel to be "sms", and make sure that you use an asynchronous method.
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Integration Engineer

Interviewed at Branch

3.5
Dec 22, 2020

1. Integrate the Branch SDK a. Follow the SDK integration steps outlined here. b. Set up routing to specific monster based on params returned in onInitFinished. 2. Set up custom event tracking, link creation, and content sharing a. Track that the user visited the monster edit page (call event "monster_edit") on the MonsterCreatorActivity 1 b. Track that the user visited the monster view page (call event "monster_view") on the MonsterViewerActivity. This time, include state information (specified in `myMonsterObject.monsterMetaData()`) c. Using an asynchronous method inside `initUI()`, get a shortURL with params, using the static keys provided in `MonsterPreferences` and the values from `myMonsterObject.prepareBranchDict()`. Put that URL into the `monsterUrl` TextView, and be sure to move the`progressBar.setVisibility(View.GONE);` inside the completionhandler d. Inside `shareMyMonster`, get a short URL with params. Get the params from `myMonsterObject.prepareBranchDict()`, set the channel to be "sms", and make sure that you use an asynchronous method.

1st : Non linear function in DL, what happens when we apply 'x' in the function. Writing formula of various loss function in ML. How to handle imbalanced data. What is KL divergence?. What's the benefit of Multi Modal?. Drawing derivative of activation functions Coding : backtracking problem. 2nd : CNN architecture detail, 3-4 coding questions, how do you identify filter using convolution operation when there is no direct access to filter information?. How to deal with audio time signal in deep learning ? (Explained pre-processing steps to spectrum) 3rd : TCP OSI 7 layer, Difference between TCP/UDP, 1 coding question, convert to class instance, Writing bash script that parses from directories and distribute outcome in some directories, explain some linux commands. resume questions, Write program to evaluate ML models criteria for evaluation whether to allow this model to pass or not. 4th : Some basic machine learning questions and VGG, Inception, ResNet, python specific questions (Generator, Decorator)
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Systems Integration and Test Engineer

Interviewed at Qualcomm

3.8
Jan 23, 2019

1st : Non linear function in DL, what happens when we apply 'x' in the function. Writing formula of various loss function in ML. How to handle imbalanced data. What is KL divergence?. What's the benefit of Multi Modal?. Drawing derivative of activation functions Coding : backtracking problem. 2nd : CNN architecture detail, 3-4 coding questions, how do you identify filter using convolution operation when there is no direct access to filter information?. How to deal with audio time signal in deep learning ? (Explained pre-processing steps to spectrum) 3rd : TCP OSI 7 layer, Difference between TCP/UDP, 1 coding question, convert to class instance, Writing bash script that parses from directories and distribute outcome in some directories, explain some linux commands. resume questions, Write program to evaluate ML models criteria for evaluation whether to allow this model to pass or not. 4th : Some basic machine learning questions and VGG, Inception, ResNet, python specific questions (Generator, Decorator)

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