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Advanced Excel and Google Sheets Questions

Covers advanced spreadsheet skills used for data analysis, reporting, and ad hoc business intelligence work in both Microsoft Excel and Google Sheets. Core capabilities include lookup and reference functions such as VLOOKUP and INDEX MATCH, aggregation and conditional functions such as SUMIF and AVERAGEIF, logical functions such as IF, array formulas, and nested formulas. Candidates should be comfortable building and manipulating pivot tables to summarize data, using conditional formatting and data validation to ensure data quality, and structuring worksheets with named ranges and proper use of absolute versus relative cell references. The topic also includes creating dynamic formulas and simple dashboards for visualization, charting best practices, data cleaning techniques, and performance considerations for large worksheets. At an advanced level, familiarity with automation and workflow improvements such as macros or scripts, query and transform capabilities, and how spreadsheets integrate or compare with business intelligence tools is expected.

EasyTechnical
0 practiced
You need to find and remove duplicate customer records across two columns (CustomerID and Email) in a dataset with 50k rows. Describe a quick Excel/Google Sheets approach to identify duplicates, and steps to safely remove them while preserving the first occurrence. Include precautions for auditing the deletions.
MediumTechnical
0 practiced
Explain how to use IMPORTRANGE, IMPORTDATA, or IMPORTXML in Google Sheets to pull external data. Provide an example IMPORTRANGE formula that brings in sheet 'Data' from another Google Sheet by URL and specify how to handle permissions and rate limits for frequent imports.
MediumTechnical
0 practiced
Compare Pivot Table calculated fields and Pivot Table calculated items. Provide an example where using a calculated field is appropriate and another where a calculated item is necessary. Discuss performance and complexity trade-offs when using either in large pivot tables.
HardTechnical
0 practiced
A workbook with 500,000 rows and many VLOOKUP/INDEX formulas is running very slowly. Provide a prioritized list of optimizations you would apply to improve performance, including replacing volatile functions, using helper columns, leveraging Power Query or a database, and formula to value conversion. Explain why each change helps.
HardTechnical
0 practiced
You need to match customer records between two lists where names and addresses may have typos. Explain how to perform fuzzy matching in Excel (using Fuzzy Lookup Add-in or similarity algorithms) or Google Sheets (using Apps Script with Levenshtein or cosine similarity). Provide an approach to score matches and set thresholds for manual review.

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