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<p>Let’s say we have a table with an <code>id</code> and <code>name</code> fields. The table holds over 100 million rows and we want to sample a random row in the table without throttling the database.</p>

<p>Write a query to randomly sample a row from this table.</p>

<p><strong>Input:</strong></p>

<p><code>big_table</code> table</p>

<table>
<thead>
<tr>
<th>Columns</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>


Write a query to randomly sample a row from a big table.

Random SQL Sample

<p>You are testing hundreds of hypotheses with many <em>t</em>-tests. What considerations should be made?</p>


<p>What is a key disadvantage of the F-test when compared to multiple t-tests?</p>

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

<p>Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.</p>

<p>How would you assess the validity of the result?</p>


Experiment Validity

The College Board Salaries by Position

<p>Data Engineer College Board - Technology Location: This is a fully remote role. Candidates who live near College Board offices have the option of being fully remote or hybrid (Tuesday and Wednesday in office) Type: This is a full-time position About the Team Interflow is a team of 12 highly collaborative, engaged, and motivated technologists responsible for implementing core services that are leveraged by other teams at College Board through the lifecycle of a student's digital assessment, from registration to score reporting. We constantly seek out, experiment with, and harness new technologies to build quality products that deliver comprehensive assessments to the millions of students we serve. With the digital SAT and PSAT administration, our team continues to have new opportunities to work on challenging initiatives that are vital to our organization's mission to connect students to college success and opportunity. About the Opportunity As a Data Engineer, you will be responsible for understanding our business use cases, extracting the data using SQL and building reports for our digital test administration. You will get the chance to be a part of a team that is in the limelight, collaborating closely with our Digital Assessment and Bluebook teams. Because of your ability to comprehend data and begin to develop insights, students from around the world can have a smooth testing experience and we can continue improving for generations to come. In this role, you will: Extract, Analyze, and Report (80%)  Develop complex SQL scripts to extract data in Athena, Timestream and Redshift  Access, trace, analyze and remediate data issues or inconsistencies through leveraging SQL and applicable AWS tools such as Redshift and Athena  Apply business logic to retrieve or change data sets from gaining a good understanding of the data structure and definitions  Trace changes in data and nail down edge cases for data scenarios  Design and manage information systems, conduct analysis, and generate accurate and comprehensive reports on operational data  Automate the data extract using Python and visualize these on charts and graphs using Tableau/Quicksight  Follow best practices around coding, version control, testing, and automated build processes  Explore and engage in opportunities to be hands on with new AI, data engineering tools and ML technologies available in the current market. Support (10%)  Support peak time test days with insight into issues and resolutions needed for test administration  Troubleshoot and resolve application access issues, email communications, and application features  Play supporting role in understanding business needs in context, from a user perspective  Communicate to both the business and technical team members about the interpretation of the data  Provide crucial feedback for the design and implementation of features after reviewing requirements Document (10%)  Develop and document in the review of requirements, data mappings, database specifications and other artifacts  Support architects, leads and product owners to ensure that all aspects of the information analysis and requirements gathering process are completed with the highest degree of accuracy and quality  Ensure that data artifacts, design and reports details are fully documented About You You have:  Ideally 1 years of experience in a professional software development environment performing data engineering type of work with a high proficiency in writing SQL queries for complex data extracts  A bachelor's degree in data science, computer science, engineering, or an analytical field is preferred  Experience or exposure working with large sets of data  To view the full job description,</p>

The College Board Interview Questions

The College Board Interview Guides

The College Board Interview Questions

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