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Secure Data Engineering System Design with AWS and Machine Learning DevOps Engineer @ Yahoo Difficulty medium

You are tasked with designing a secure database system for Yahoo's Paranoids team, focusing on a Linux environment hosted on AWS. The system should ensure data integrity and protection against cyber threats. Additionally, propose a machine learning approach to detect and mitigate potential security breaches. Describe your approach, the technologies you would use, and the steps involved in the implementation.

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Cybersecurity in Database Design with AWS, Linux, and Machine Learning DevOps Engineer @ Yahoo Difficulty hard

Design a secure database system for a cybersecurity team, focusing on a Linux environment hosted on AWS. The system must ensure data integrity and protection against cyber threats. Additionally, propose a machine learning solution to detect and mitigate potential security breaches. Detail your approach, the technologies you would use, and the steps involved in the implementation.

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Apache Pig Script for LCS Problem with Hadoop and Machine Learning Integration Data Engineer @ Yahoo Difficulty hard

Create an Apache Pig script to solve a Longest Common Subsequence (LCS) problem using data stored in Hadoop HDFS. Additionally, describe how you would integrate this data processing with a machine learning model to predict the likelihood of sequences being similar in future data streams.

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Understanding Overfitting, Activation Functions, and Batch Normalization Machine Learning Engineer @ Yahoo Difficulty medium

Explain the concept of overfitting in machine learning. What are activation functions and what role do they play in neural networks? Additionally, describe batch normalization and its purpose in training deep learning models.

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Handling Under-performing Predictive Models Data Analyst @ Apple Difficulty medium

How would you identify and address potentially under-performing predictive models in a production environment?

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Understanding Machine Learning Data Analyst @ Google Difficulty medium

Explain what machine learning is and how it helps us to train data. Include examples of different types of machine learning and their typical applications.

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Comparing BI Tools and Knowledge of Machine Learning Data Analyst @ Amazon Difficulty medium

What is the difference between Tableau, Power BI, and other BI tools? Do you have any knowledge of Machine Learning?

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Factors and Process for Generating a Forecast for an Item @ Apple Difficulty medium

What factors should be used in generating a forecast for an item, and what should be the process of generation?

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Handling Skewed Distributions and Imbalanced Classes Data Analyst @ Microsoft Difficulty medium

How would you handle skewed distributions and imbalanced classes in a dataset intended for machine learning? Provide specific techniques and tools you would use.

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