2023 DA0-001 exam torrent DA0-001 Study Guide
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CompTIA DA0-001 exam is a 90-minute exam with a maximum of 80 multiple-choice questions. DA0-001 exam is computer-based and can be taken at any authorized Pearson VUE testing center. The passing score for the exam is 720 out of 900. DA0-001 exam fee is $319, and it is valid for three years.
NEW QUESTION # 13
Exhibit.
Which of the following logical statements results in Table B?
- A.

- B.

- C.

- D.

Answer: C
NEW QUESTION # 14
You should always choose the analytics tool that is most appropriate for any given situation, even if that means acquiring a new tool.
- A. True.
- B. False.
Answer: B
Explanation:
Explanation
The statement is false. You should not always choose the analytics tool that is most appropriate for any given situation, even if that means acquiring a new tool. Acquiring a new tool can be costly, time-consuming, and risky, as it may not be compatible with your existing data sources, systems, or processes. It may also require additional training, maintenance, and support. Therefore, you should always consider the trade-offs between the benefits and drawbacks of acquiring a new tool versus using an existing one. You should also evaluate the feasibility, availability, and reliability of the new tool before making a decision. Reference: CompTIA Data+ (DA0-001) Practice Certification Exams | Udemy
NEW QUESTION # 15
A data analyst needs to create a weekly recurring report on sales performance and distribute it to all sales managers. Which of the following would be the BEST method to automate and ensure successful delivery for this task?
- A. Upload the report to the server.
- B. Implement subscription access delivery.
- C. Print out a copy.
- D. Use scheduled report delivery.
Answer: D
NEW QUESTION # 16
Which one of the following is a common data warehouse schema?
- A. Spiral.
- B. Sphere.
- C. Square.
- D. Snowflake.
Answer: D
Explanation:
Snowflake enables data storage, processing, and analytic solutions that are faster, easier to use, and far more flexible than traditional offerings. The Snowflake data platform is not built on any existing database technology or "big data" software platforms such as Hadoop.
NEW QUESTION # 17
Joseph is interpreting a left skewed distribution of test scores. Joe scored at the mean, Alfonso scored at the median, and gaby scored and the end of the tail.
Who had the highest score?
- A. Alfonso
- B. Joe
- C. Gaby
- D. Joseph
Answer: A
Explanation:
A left skewed distribution typically has a mean less than the median, with the tail representing the lowest score.
NEW QUESTION # 18
What role in a data governance is typically responsible for day-to-day oversight of data use?
- A. Data processors.
- B. Data stewards.
- C. Data custodians
- D. Data owners.
Answer: B
NEW QUESTION # 19
The process of performing initial investigations on data to spot outliers, discover patterns, and test assumptions with statistical insight and graphical visualization is called:
- A. an exploratory data analysis.
- B. a link analysis.
- C. a t-test.
- D. a performance analysis.
Answer: A
Explanation:
Explanation
This is because exploratory data analysis is a type of process that performs initial investigations on data to spot outliers, discover patterns, and test assumptions with statistical insight and graphical visualization, such as box plots, histograms, scatter plots, etc. Exploratory data analysis can be used to understand and summarize the data, as well as to generate hypotheses or questions for further analysis or research. For example, exploratory data analysis can be used to identify and visualize the characteristics, features, or behaviors of the data, as well as to measure their distribution, frequency, or correlation. The other options are not types of processes that perform initial investigations on data to spot outliers, discover patterns, and test assumptions with statistical insight and graphical visualization. Here is what they mean:
A t-test is a type of statistical method that tests whether there is a significant difference between the means of two groups or samples, such as whether there is a difference between the average exam scores of two classes in this case. A t-test can be used to test or verify a claim or an assumption about the data, as well as to measure the confidence or the error of the estimation.
A performance analysis is a type of process that measures whether the data meets certain goals or objectives, such as targets, benchmarks, or standards. A performance analysis can be used to identify and visualize the gaps, deviations, or variations in the data, as well as to measure the efficiency, effectiveness, or quality of the outcomes. For example, a performance analysis can be used to determine if there is a gap between a student's test score and their expected score based on their previous performance.
A link analysis is a type of process that determines whether the data is connected to other datapoints, such as entities, events, or relationships. A link analysis can be used to identify and visualize the patterns, networks, or associations among the datapoints, as well as to measure the strength, direction, or frequency of the connections. For example, a link analysis can be used to determine if there is a connection between a customer's purchase history and their loyalty program status.
NEW QUESTION # 20
An analyst runs a report on a daily basis, and the number of datapoints must be validated before the data can be analyzed. The number of datapoints increases each day by approximately 20% of the total number from the day before. On a given day, the number of datapoints was 8,798. Which of the following should be the total number of datapoints on the next day?
- A. 9,600
- B. 7,038
- C. 10,800
- D. 10,600
Answer: B
NEW QUESTION # 21
The ACME Corporation hired an analyst to detect data quality issues in their Excel documents. Which of the following are the most common issues? (Select TWO)
- A. Misspellings.
- B. Commas.
- C. Duplicates.
- D. Symbols.
- E. Apostrophe.
Answer: A,C
Explanation:
Explanation
1. Duplicates
2. Misspellings
The most common data quality issues are difficult to resolve in Excel because of their rigidity. It forces analysts to do a ton of manual work, which results in a high probability of an error being introduced to the data set. Those common issues include:
- Blanks
- Nulls
- Outliers
- Duplicates
- Extra spaces
- Misspellings
- Abbreviations and domain-specific variations
- Formula error codes
When introduced, these errors can skew or even invalidate the resulting analysis. A smart tool would minimize the possibility of error by automating the manual work. In Excel, you might look for data quality issues in one of two ways. First, you might use auto filters on specific columns to scan for anomalies and blanks or you might use a pivot table to find gaps and discrepancies.
In either case, you're scanning for the anomalies yourself. Suffice it to say that's not a very efficient process. It also means accuracy is only as good as the analyst's eye, so the probability of error varies throughout the day.
NEW QUESTION # 22
An analyst runs a report on a daily basis, and the number of datapoints must be validated before the data can be analyzed. The number of datapoints increases each day by approximately 20% of the total number from the day before. On a given day, the number of datapoints was 8,798. Which of the following should be the total number of datapoints on the next day?
- A. 9,600
- B. 10,600
- C. 10,800
- D. 7,038
Answer: B
Explanation:
Explanation
This is because the number of datapoints increases each day by approximately 20% of the total number from the day before. Therefore, to find the number of datapoints on the next day, we can use the formula:
Plugging in the given values, we get:
Since we are dealing with whole numbers, we can round up the result to the nearest integer, which is 10,600.
NEW QUESTION # 23
Which one the following is not considered an aggregate function?
- A. SUM
- B. SELECT
- C. MAX
- D. MIN
Answer: B
NEW QUESTION # 24
What symbol is used for the variance of a population of data?
- A. s
- B. 0
- C. 2x2
- D. 0x2
Answer: D
Explanation:
The sample variance is defined by(15.59)We use the symbol sx2 for a sample variance and the symbol ox2 for a population variance.
NEW QUESTION # 25
A data analyst is creating a report that will provide information about various regions, products, and time periods. Which of the following formats would be the MOST efficient way to deliver this report?
- A. A workbook with multiple tabs for each region
- B. A dashboard with filters at the top that the user can toggle
- C. A daily email with snapshots of regional summaries
- D. A static report with a different page for every filtered view
Answer: B
NEW QUESTION # 26
A data analyst has been asked to organize the table below in the following ways:
By sales from high to low -
By state in alphabetic order -
Which of the following functions will allow the data analyst to organize the table in this manner?
- A. Conditional formatting
- B. Sorting
- C. Grouping
- D. Filtering
Answer: C
NEW QUESTION # 27
A data analyst has been asked to merge the tables below, first performing an INNER JOIN and then a LEFT JOIN:
Customer Table -
In-store Transactions -
Which of the following describes the number of rows of data that can be expected after performing both joins in the order stated, considering the customer table as the main table?
- A. INNER: 6 rows; LEFT: 9 rows
- B. INNER: 15 rows; LEFT: 9 rows
- C. INNER: 9 rows; LEFT: 6 rows
- D. INNER: 9 rows; LEFT: 15 rows
Answer: D
Explanation:
Explanation
An INNER JOIN returns only the rows that match the join condition in both tables. A LEFT JOIN returns all the rows from the left table, and the matched rows from the right table, or NULL if there is no match. In this case, the customer table is the left table and the in-store transactions table is the right table. The join condition is based on the customer_id column, which is common in both tables.
To perform an INNER JOIN, we can use the following SQL query:
SELECT * FROM customer INNER JOIN in_store_transactions ON customer.customer_id = in_store_transactions.customer_id; This query will return 9 rows of data, as shown below:
customer_id | name | lastname | gender | marital_status | transaction_id | amount | date 1 | MARC | TESCO | M
| Y | 1 | 1000 | 2020-01-01 1 | MARC | TESCO | M | Y | 2 | 5000 | 2020-01-02 2 | ANNA | MARTIN | F | N | 3 |
2000 | 2020-01-03 2 | ANNA | MARTIN | F | N | 4 | 3000 | 2020-01-04 3 | EMMA | JOHNSON | F | Y | 5 |
4000 | 2020-01-05 4 | DARIO | PENTAL | M | N | 6 | 5000 | 2020-01-06 5 | ELENA | SIMSON| F| N|7|6000|2020-01-07 6|TIM|ROBITH|M|N|8|7000|2020-01-08 7|MILA|MORRIS|F|N|9|8000|2020-01-09 To perform a LEFT JOIN, we can use the following SQL query:
SELECT * FROM customer LEFT JOIN in_store_transactions ON customer.customer_id = in_store_transactions.customer_id; This query will return 15 rows of data, as shown below:
customer_id|name|lastname|gender|marital_status|transaction_id|amount|date
1|MARC|TESCO|M|Y|1|1000|2020-01-01 1|MARC|TESCO|M|Y|2|5000|2020-01-02
2|ANNA|MARTIN|F|N|3|2000|2020-01-03 2|ANNA|MARTIN|F|N|4|3000|2020-01-04
3|EMMA|JOHNSON|F|Y|5|4000|2020-01-05 4|DARIO|PENTAL|M|N|6|5000|2020-01-06
5|ELENA|SIMSON||F||N||7||6000||2020-01-07 6||TIM||ROBITH||M||N||8||7000||2020-01-08
7||MILA||MORRIS||F||N||9||8000||2020-01-09 8||JENNY||DWARTH||F||Y||NULL||NULL||NULL As you can see, the customers who do not have any transactions (customer_id = 8) are still included in the result, but with NULL values for the transaction_id, amount, and date columns.
Therefore, the correct answer is C: INNER: 9 rows; LEFT: 15 rows.
NEW QUESTION # 28
What type of visualization allows the use of a bar chart for continuous variables?
- A. Histogram
- B. Waterfall chart
- C. Tree map
- D. Line chart
Answer: A
NEW QUESTION # 29
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