Microsoft Ads Asset-Level Disapprovals: What Marketers Must Know
2 Dec 2025
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Data Analysis & Synthesis
For a project predicting customer churn, generate a list of 10 relevant Data Features that should be engineered from raw customer usage data. Features must include measures of recency, frequency, and monetary value.
For an online payment processor, generate a list of 5 key Behavioral Metrics that should be used in a model to detect payment fraud (e.g., number of failed transactions, IP address change). Justify the inclusion of 'Transaction Value' as a feature.
Outline a simple Data Ingestion Strategy for a system receiving streaming data from 5,000 IoT devices. Define the optimal technology stack (e.g., Kafka/RabbitMQ) for the initial ingestion layer and justify the choice based on fault tolerance and high throughput.
Analyze the following A/B test result: Variant B had a 1.2% conversion rate increase over Variant A, with a p-value of 0.04. State the conclusion (Reject/Fail to Reject Null Hypothesis) and explain what the p-value of 0.04 signifies regarding the result's confidence.
Design the layout for a single-screen Executive KPI Dashboard. Specify the placement and type of the 5 most critical metrics (e.g., line chart for MRR, gauge for Churn Rate, single number for LTV) to provide an immediate business overview.
Write a Python script using the Pandas library to perform data cleaning on a CSV file. The script must handle 3 tasks: 1. Remove duplicate rows, 2. Fill missing values in the 'Age' column with the mean, and 3. Convert the 'Date' column to datetime objects.
Outline the 5 essential components of a basic Data Governance Policy. Components must cover: Data Quality, Data Security (Access Control), Data Ownership, Data Lifecycle Management, and Data Audit/Compliance.
Generate a simple Customer Segmentation Strategy for an online education platform based on usage data. Define 3 segments (e.g., Power Users, Passive Learners, Churn Risks) and list 2 key behavioral characteristics that define each segment.
Generate a valid JSON structure for mocking an API response that returns a list of blog posts. The structure must include 3 sample posts, each having fields for id, title, author, publish_date, and a list of tags.
Develop a policy for labeling and scaling a Time-Series Chart used in an executive report. The policy must cover: 1. Mandatory Y-axis labels (quantified), 2. Recommended X-axis interval (e.g., weekly, monthly), and 3. The use of a smooth trend line vs. raw data points.
Write a Python script using a suitable library (e.g., GeoPy, Pandas) that can identify and flag data rows where the latitude and longitude coordinates are likely incorrect (e.g., where both are exactly zero, or where the coordinates place the user in the ocean).
Generate a hypothetical dataset containing 20 rows of customer data. The data must include 4 columns: CustomerID, Country (3 distinct countries), Subscription_Tier (Basic, Pro, Enterprise), and Churned (True/False), with 5 users in the 'Enterprise' tier marked as 'False'.
Generate a complex Excel formula for a spreadsheet. The formula must check if the value in cell A2 is greater than 100 and the value in cell B2 is 'Complete'. If both are true, return 'Approved', otherwise return 'Pending Review'.
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