DA0-001 Mining and Acquiring Data • Complete Question Bank
Complete DA0-001 Mining and Acquiring Data question bank — all 0 questions with answers and detailed explanations.
Refer to the exhibit. ``` SELECT customer_id, COUNT(order_id) AS order_count FROM orders GROUP BY customer_id HAVING COUNT(order_id) > 5 ORDER BY order_count DESC; ```
Refer to the exhibit. Error log: ``` 2025-03-15 10:23:45 ERROR: ORA-12034: materialized view log on "SCHEMA"."SALES" is newer than last refresh 2025-03-15 10:23:45 INFO: Refresh of materialized view "SALES_MV" failed ```
Refer to the exhibit.
```
{
"policy": {
"Statement": [
{
"Effect": "Allow",
"Action": ["s3:GetObject"],
"Resource": "arn:aws:s3:::data-bucket/*"
}
]
}
}
```Refer to the exhibit. Data Import Log: [2024-03-15 10:22:34] INFO: Starting import from source 'sales_raw.csv' [2024-03-15 10:22:35] WARN: Row 1502: 'price' field contains non-numeric value '12.5A'. Skipping row. [2024-03-15 10:22:36] ERROR: Row 3450: 'date' field value '2024-02-30' is invalid. Import halted. [2024-03-15 10:22:36] INFO: Import process terminated with errors.
Drag steps to the numbered slots on the right, or tap a step then tap a slot.
Drag steps to the numbered slots on the right, or tap a step then tap a slot.
Drag a concept onto its matching description — or click a concept then click the description.
Model relationships between variables
Group similar data points without labels
Analyze data points collected over time
Compare means across multiple groups
Test association between categorical variables
Drag a concept onto its matching description — or click a concept then click the description.
Unique identifier for each record in a table
Field that links to primary key in another table
Structure to speed up data retrieval
Virtual table based on a query result
Process to reduce data redundancy
Refer to the exhibit.
```json
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": "s3:GetObject",
"Resource": "arn:aws:s3:::data-bucket/*",
"Condition": {
"IpAddress": {"aws:SourceIp": "10.0.0.0/8"}
}
}
]
}
```Refer to the exhibit. ``` INFO: Starting extraction from source 'SalesDB' INFO: Connected successfully. WARN: Data type mismatch in column 'Price': expected NUMERIC, found VARCHAR ERROR: Row 1523: failed to parse date '2024-02-30' INFO: Extraction completed with 1 warning and 1 error. ```
SELECT customer_id, COUNT(*) as order_count FROM orders GROUP BY customer_id HAVING COUNT(*) > 5;
2023-08-15 14:32:10 ERROR: Data conversion failed for column 'salary' in row 45: value 'N/A' cannot be converted to numeric.
SELECT * FROM sales WHERE date BETWEEN '2023-01-01' AND '2023-12-31';
Refer to the exhibit.
{
"customers": [
{"id": 1, "name": "John Doe", "email": "john@example.com"},
{"id": 2, "name": "Jane Smith", "email": "jane@example.com"}
],
"status": "success"
}Refer to the exhibit. SELECT customer_id, COUNT(order_id) AS order_count FROM orders WHERE order_date BETWEEN '2023-01-01' AND '2023-12-31' GROUP BY customer_id HAVING COUNT(order_id) > 5;
Refer to the exhibit. ERROR: Data type mismatch for column 'transaction_amount' at row 342. Expected DECIMAL(10,2), received VARCHAR. The source system sends transaction_amount as a string with a currency symbol (e.g., '$123.45').
SELECT COUNT(*) FROM customers WHERE signup_date > '2023-01-01'; Result: 15000 The analyst notices that the result seems low because they expected more signups from that period.
2023-05-01 14:32:01 INFO: Starting extraction from source 'SalesDB' 2023-05-01 14:32:05 ERROR: Connection timeout after 30s 2023-05-01 14:32:06 WARN: Retry attempt 1 2023-05-01 14:32:36 ERROR: Connection timeout after 30s 2023-05-01 14:32:37 WARN: Retry attempt 2 2023-05-01 14:33:07 ERROR: Connection timeout after 30s 2023-05-01 14:33:08 WARN: Retry attempt 3 2023-05-01 14:33:38 ERROR: Maximum retries exceeded
Error: 2024-03-15 10:32:45 ERROR [DataExtractor] Failed to connect to source database 'SalesDB' on server 10.0.0.50:1433. Error: Login failed for user 'dataminer'. Reason: An attempt to login using SQL authentication failed. Server is configured for Windows authentication only.