Data Analytics & Data Warehousing Reviewer (Quizzes 1–5)

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Flashcards covering core concepts, terminology, and practice quiz solutions for Data Analytics, ETL, Data Warehousing, OLAP/OLTP, Data Modeling, and Power Query.

Last updated 8:43 AM on 9/25/26
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78 Terms

1
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Why is an online marketplace collecting searches, clicks, orders, payments, reviews, and delivery updates considered Big Data?

It is large, fast, diverse, and complex

2
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Which Big Data characteristic is mainly being addressed when a ride-hailing company receives live GPS coordinates every few seconds?

Velocity

3
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Which type of analytics is applied when estimating which subscribers are likely to stop using a service next month?

Predictive

4
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What question does a public-health dashboard reporting dengue cases recorded in each province during the past month primarily answer?

What happened?

5
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What is the typical output when using previous consumption and weather patterns to estimate electricity demand next week?

Forecasts and probabilities

6
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Which combination best describes the key challenge and application when monitoring digital-wallet transactions and flagging unusual activity within seconds?

Velocity and fraud detection

7
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Which Big Data characteristic is the main concern when discovering duplicate student records, missing grades, and inconsistent date formats?

Veracity

8
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Which Big Data characteristic best describes combining patient tables, doctors' notes, X-ray images, and audio recordings for analysis?

Variety

9
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Which type of analytics produces the recommendation when forecasting passengers and suggesting how many buses to deploy on each route?

Prescriptive

10
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Which Big Data characteristic is most evident when storing five years of high-definition video from hundreds of road cameras?

Volume

11
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Which question is answered when selecting the best warehouse for delivery based on predicted orders, distance, and capacity limits?

What should we do?

12
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Which response is accurate if a dataset has high inconsistency but lacks extreme volume?

Different projects can face different V-related challenges

13
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What requirement follows when a small company tries to process continuously growing sensor data with a traditional spreadsheet, but updates become too slow?

Scalable storage and processing

14
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What is the expected output when comparing system logs with server outage times to determine the cause of a website traffic drop?

Causes and relationships

15
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Which Big Data characteristic is achieved when weather and crop-sensor data improve irrigation decisions?

Value

16
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Which type of analytics is used to find the reason why sales fell in June by examining stock records?

Diagnostic

17
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Which sequence of analytics is used when predicting heavy demand next weekend and then choosing staffing levels under budget limits?

Predictive then prescriptive

18
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What process is performed when combining enrollment records, grades, attendance logs, and LMS activity into one dataset?

Data integration

19
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Which integration challenge must be solved when a customer appears under slightly different names across different systems?

Identity matching

20
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What structure does a dataset use when storing student numbers, program names, and grades in rows and columns with fixed data types?

Structured

21
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Which ETL stage occurs when retrieving booking records from Excel files, a reservation database, and an online API?

Extract

22
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Which challenge is evident when hourly sales data is combined with weekly supplier updates, causing inconsistent totals?

Data latency because sources update at different times

23
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Which ETL stage occurs when converting ticket prices to one currency, standardizing airport codes, and removing duplicate bookings?

Transform

24
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Why are JSON order records with optional or nested fields classified as semi-structured data?

Semi-structured because keys organize records without a rigid table schema

25
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Which data category and methods are most appropriate for analyzing customer review text and uploaded product photos?

Unstructured data using natural language processing and computer vision

26
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Which cloud-source limitation is illustrated when a team can access its database only while connected to the internet?

Internet dependence

27
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What is missing when a database connection fails because the system cannot verify the user?

Authentication credentials

28
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Which spreadsheet practice makes branch files easiest to combine in Power BI?

Keep one header row and consistent column names

29
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When combining a distributor's sales records with government agricultural statistics and weather forecasts, which data is external?

The government statistics and weather forecasts

30
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How should point-of-sale transactions, inventory records, and loyalty-card data from a supermarket be classified?

Internal sources because they originate within the organization

31
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Which cloud limitation is responsible when REST API reports stop refreshing after too many requests?

API request limits

32
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Which ETL stage occurs when storing cleaned booking records into a data warehouse for reporting?

Load

33
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Which connection mode should be used when a retail dashboard must query a central SQL database upon user interaction rather than storing a local copy?

Direct query

34
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What challenge is demonstrated when date formats MM/DD/YYYY and DD/MM/YYYY cause incorrect monthly totals after integration?

Format differences

35
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What should an analyst do in Power Query when overlapping file combinations produce duplicate Order ID rows?

Select the identifying columns and choose Remove Duplicates

36
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Which Power Query tool maps category variations like 'Female', 'F', and 'Woman' into one approved standard?

Replace Values or a Conditional Column

37
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What is the appropriate action when delivery records have blank statuses that mean 'awaiting review'?

Replace the blank with “Pending Verification”

38
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What action fixes dates stored as text that appear in alphabetical rather than chronological order?

Convert the column to the Date data type

39
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Which operation combines 500 rows from January Sales and 450 rows from February Sales into one 950-row table?

Append Queries

40
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How should a quantity value of -5 be classified when product quantities cannot be negative?

An invalid or incorrect value

41
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Which cleaning action should be performed when a report treats 'Metro Manila', 'NCR', and 'National Capital Region' as three separate regions?

Standardize the category values

42
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What is the most defensible treatment when a dataset lacks customer IDs essential for linking transactions?

Remove or isolate those records because a critical value is missing

43
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What step must be taken before appending two monthly tables that use 'Order Amount' in one and 'Sales Value' in the other?

Standardize the corresponding column names

44
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Which data type is most suitable for precise currency calculations on product prices?

Fixed decimal number

45
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Which Power Query operation adds Name and City from a Customers table to matching records in an Orders table?

Merge using Customer ID as the matching field

46
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Which data type is appropriate for Student IDs (e.g., 00127) that require leading zeros and are not used in math?

Text

47
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Why is replacing uncaptured order amounts with zero without verification risky?

Zero may incorrectly imply that the order had no monetary value

48
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Which principle guides review when a cleaned dataset still produces broken relationships and misleading charts?

Analysis quality depends heavily on source-data quality

49
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Which Power Query operation removes unwanted spaces in text like ' Cebu City '?

Trim and Clean

50
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Which Power Query feature corrects date parsing when 05/06/2026 is incorrectly interpreted as May 6 instead of 5 June?

Change Type Using Locale

51
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Which join type retains all rows from Orders and matching customer details, while keeping orders without customer matches?

Left outer join with Orders as the left table

52
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In database and data warehouse analysis, what are evaluated values such as sales amount, quantity sold, and profit called?

Measures

53
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Which repository is best suited for shared definitions and cross-department analysis across an entire enterprise?

An enterprise data warehouse

54
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In the five-layer data warehouse architecture, which layer contains reports and Power BI dashboards?

Presentation layer

55
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Which processing approach is required for rapid, accurate transaction recording in transactional databases?

OLTP

56
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Which processing approach is used when querying years of records to compare performance across branches and customer groups?

OLAP

57
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What is a smaller repository that receives curated data from an enterprise data warehouse for use by a single department?

Finance data mart

58
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Retaining five years of historical reservation data for seasonal analysis illustrates which data warehouse characteristic?

Time-variant

59
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Organizing data warehouse information around subjects like customers, products, sales, and students demonstrates which characteristic?

Subject-oriented

60
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Which EDW benefit addresses conflicting reports caused by different departments defining terms differently?

It establishes common definitions and standards

61
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Converting source system customer codes into one unified standard before loading into a data warehouse demonstrates which characteristic?

Integrated

62
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Which OLAP operation is performed when selecting ranges from multiple dimensions (e.g., product, location, time)?

Dice

63
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Which data warehouse characteristic describes reading historical records without routine transactions continually overwriting past values?

Non-volatile

64
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In OLAP analysis, what do fields like branch, product category, hour, and day of the week represent?

Dimensions

65
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Which OLAP operation moves from annual sales totals down to quarterly, monthly, and daily results?

Drill down

66
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Which OLAP operation restricts a multidimensional report by filtering down to a single dimension value (e.g., sales for 2026 only)?

Slice

67
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What role does a product dimension table containing Product Key, Product Name, Category, and Brand serve?

It stores descriptive information for filtering and grouping

68
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What must a modeler do before creating a relationship between two key columns stored with different data types?

Use compatible data types for both key columns

69
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Why must a primary key column in a dimension table be corrected if it contains duplicates or blanks?

A primary key must uniquely identify each row and should not be blank

70
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Which data modeling schema is generally preferred for simple relationships, clear filter paths, and efficient analytical queries?

A star schema

71
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What design guidance should be followed when bidirectional relationships create multiple filter routes between tables?

Prefer single-direction filtering and avoid circular relationship paths

72
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Mixing monthly balances with individual transactions in the same fact table neglects which key modeling decision?

Fact table grain

73
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What key roles are assigned when DimProduct contains unique ProductKeys and FactSales contains thousands of repeated ProductKeys?

DimProduct[ProductKey] is primary; FactSales[ProductKey] is foreign

74
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In the question 'What were total smartphone sales in Cebu during September?', which table provides the aggregated value and which dimension identifies smartphones?

FactSales provides the aggregated value; DimProduct identifies smartphones

75
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If a model produces unexpected totals because two tables with repeated keys were connected directly, which relationship type should be investigated first?

Many-to-many

76
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What type of table contains fields like Sale ID, Date Key, Product Key, Quantity, Discount, Cost, and Sales Amount?

Fact table

77
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How should a report author clean up a model containing exposed technical key columns, unused fields, and implicit aggregations?

Hide technical keys, remove unused fields, and create explicit DAX measures

78
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Which schema separates product, category, and department into individual related dimension tables to eliminate repeated descriptions?

Snowflake schema