Practice Test Geeks(CTC) Certified Test Conductor Practice Test
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Data Analysis & Reporting Flashcards

7 cards from real CTC practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

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  1. A root cause analysis on escaped defects reveals 60% originated during requirements phase. Which action best addresses this finding?

    Answer: Strengthen requirements review and static testing early in the lifecycle

    Since the defects originate in requirements, the highest leverage is shifting quality activities left to catch issues at that phase.

  2. In IEEE 829-style test reporting, which document provides the formal record of test execution results for individual test cases?

    Answer: Test log

    The test log (or test execution log) chronologically records each test case run, its outcome, and any anomalies observed during execution.

  3. A data analyst computes the correlation coefficient between test execution hours and defects found as r = 0.08. What does this indicate?

    Answer: Virtually no linear relationship between hours spent and defects found

    An r value near zero indicates negligible linear correlation, meaning effort hours alone do not predict defect discovery in this dataset.

  4. Which visualization is most effective for comparing defect counts across five different product modules simultaneously?

    Answer: Clustered bar chart

    A clustered bar chart allows direct side-by-side magnitude comparison across multiple discrete categories such as modules.

  5. A test conductor must report test progress to both technical leads and executive sponsors. What is the best practice?

    Answer: Create two reports: a detailed technical report and a high-level executive dashboard

    Tailoring reporting depth and terminology to each audience ensures the information is actionable and appropriate for their decision-making needs.

  6. Which formula correctly expresses test execution progress as a percentage when some test cases are blocked?

    Answer: (Passed + Failed) / (Total Planned) × 100

    Execution progress counts all actively run cases (passed + failed); blocked cases have not been executed and should not inflate the numerator.

  7. When analyzing test data, a bimodal distribution in test execution times suggests what condition?

    Answer: Two distinct subpopulations exist within the test suite, such as fast unit tests and slow integration tests

    A bimodal distribution has two peaks, indicating two different groups of tests with different execution characteristics are mixed in the dataset.

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