Blackstraw AI Senior Program Manager Interview Questions and Answers

Q1. Describe your current project snd your role.
Ans. 
Leading a team in developing a mobile app for tracking fitness goals.
• Managing a team of developers and designers

• Creating project timelines and milestones

• Collaborating with stakeholders to gather requirements

• Testing and quality assurance of the app

• Implementing feedback and updates based on user testing

• Ensuring project stays within budget and timeline
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Q1. Describe your role
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I oversee project planning, execution, and delivery to ensure successful completion.
• Lead project teams in defining project scope, goals, and deliverables

• Develop project plans and schedules, and track progress against milestones

• Manage project budget and resources effectively

• Communicate with stakeholders to ensure alignment and manage expectations

• Identify and mitigate project risks and issues

• Ensure quality standards are ...read more
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Q1. Describe your childhood
Ans. 
I had a happy and adventurous childhood filled with outdoor activities and family vacations.
• Grew up in a small town surrounded by nature

• Enjoyed playing sports like soccer and basketball

• Went on camping trips with my family every summer

• Participated in school plays and talent shows

• Had a close-knit group of friends from the neighborhood
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Q1. Walk me through your profile highlighting 2-3 key achievements
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Q2. *Include pointers that are most relevant to job description * Weave entire profile like a story showing that you have growing trend * Put your achievements in CAR format. Challenge that d project had, Act...read more
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Q1. What will be your 30 days plan if you are hired?
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Q1. Why are you looking for a change?
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Q1. Previous work experience related
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Q2. How did i solve business problems through analytics
Ans. 
I utilized data analytics to identify root causes of business problems and develop effective solutions.
• Utilized data analytics tools such as Excel, Tableau, and SQL to analyze large datasets

• Identified trends and patterns in data to pinpoint areas of improvement

• Developed predictive models to forecast future business outcomes

• Collaborated with cross-functional teams to implement data-driven solutions

• Monitored key performa...read more
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Data cleansing, data querying and data visualization

Q1. Case solutioning
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Q2. Case study explanation and data science algorithm explanation
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Q1. NLP based question
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Q1. Components of Databricks
Ans. 
Databricks is a unified data analytics platform that includes components like Databricks Workspace, Databricks Runtime, and Databricks Delta.
• Databricks Workspace: Collaborative environment for data science and engineering teams.

• Databricks Runtime: Optimized Apache Spark cluster for data processing.

• Databricks Delta: Unified data management system for data lakes.
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Q2. How to read a json file
Ans. 
To read a JSON file, use a programming language's built-in functions or libraries to parse the file and extract the data.
• Use a programming language like Python, Java, or JavaScript to read the JSON file.

• Import libraries like json in Python or json-simple in Java to parse the JSON data.

• Use functions like json.load() in Python to load the JSON file and convert it into a dictionary or object.

• Access the data in the JSON fi...read more
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Q3. Second highest salary SQL
Ans. 
To find the second highest salary in SQL, use the MAX function with a subquery or the LIMIT clause.
• Use the MAX function with a subquery to find the highest salary first, then use a WHERE clause to exclude it and find the second highest salary.

• Alternatively, use the LIMIT clause to select the second highest salary directly.

• Make sure to handle cases where there may be ties for the highest salary.
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Q4. How to configure the spark while creating the cluster
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Spark cluster configuration involves setting up memory, cores, and other parameters for optimal performance.
• Specify the number of executors and executor memory

• Set the number of cores per executor

• Adjust the driver memory based on the application requirements

• Configure shuffle partitions for efficient data processing

• Enable dynamic allocation for better resource utilization
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Q1. Spark and airflow related questions
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Q2. AWS services and it's related questions
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