Amazon DAS-C01 AWS Certified Data Analytics – Specialty (DAS-C01) Free Practice Test — 30 Questions

Question 1

A data analyst is tasked with creating a Power BI report that visualizes sales data across multiple regions. The analyst needs to calculate the percentage of total sales for each region and display this information in a pie chart. The sales data is structured in a table with columns for Region, SalesAmount, and Date. After creating the pie chart, the analyst wants to add a slicer to filter the data by year. What is the most effective way to ensure that the pie chart updates dynamically based on the year selected in the slicer?

Accepted Answer

Use a measure to calculate the total sales per region and ensure the slicer is connected to the same data model as the pie chart.

Question 2

A financial services company is conducting a risk assessment to evaluate the potential impact of a data breach on its operations. The company estimates that the likelihood of a data breach occurring in the next year is 15%. If a breach occurs, the estimated financial loss is projected to be $500,000. Additionally, the company has implemented security measures that reduce the likelihood of a breach by 50%. What is the expected annual loss due to the risk of a data breach after considering the implemented security measures?

Accepted Answer

$37,500

Question 3

A financial services company is implementing a new data analytics solution on AWS to monitor user activity and ensure compliance with regulatory standards. They need to set up a logging mechanism that captures detailed user actions across their data analytics services. Which approach would best facilitate comprehensive monitoring and auditing of user activities while ensuring that the logs are immutable and can be retained for compliance audits?

Accepted Answer

Enable AWS CloudTrail to log all API calls made by users and configure S3 bucket policies to ensure logs are stored in an immutable format using S3 Object Lock.

Question 4

A financial services company is implementing a new data management strategy to comply with the General Data Protection Regulation (GDPR). They need to ensure that personal data is processed lawfully, transparently, and for specific purposes. The company decides to use a data encryption method to protect sensitive information both at rest and in transit. Which of the following approaches best aligns with GDPR requirements while ensuring data security and privacy?

Accepted Answer

Implementing end-to-end encryption for all personal data, ensuring that only authorized personnel have access to decryption keys, and regularly auditing access logs for compliance.

Question 5

A financial services company is implementing a new data analytics platform on AWS to analyze customer transactions. As part of their security best practices, they need to ensure that sensitive data is encrypted both at rest and in transit. Which of the following approaches should they prioritize to achieve this goal effectively?

Accepted Answer

Utilize AWS Key Management Service (KMS) to manage encryption keys and enable server-side encryption for Amazon S3 buckets storing sensitive data, while also using TLS for data in transit.

Question 6

In the context of designing a data analytics dashboard for a financial services application, which user experience (UX) consideration is most critical to ensure that users can efficiently interpret complex data visualizations?

Accepted Answer

Providing clear and concise labeling for all visual elements

Question 7

A financial services company is implementing a new data access control policy to ensure that sensitive customer information is only accessible to authorized personnel. The policy includes role-based access control (RBAC) and attribute-based access control (ABAC). The company has defined several roles, including \"Customer Service Representative,\" \"Compliance Officer,\" and \"Data Analyst,\" each with specific permissions. Additionally, they have attributes such as \"Department\" and \"Security Clearance Level\" that further refine access. If a Data Analyst needs to access customer transaction data, which combination of access control mechanisms should be prioritized to ensure both security and compliance with regulatory standards?

Accepted Answer

Role-based access control (RBAC) combined with attribute-based access control (ABAC)

Question 8

A retail company is analyzing its sales data to improve its inventory management. They have collected data on sales volume, seasonal trends, and customer preferences over the past three years. The data shows that during the holiday season, sales of electronics increase by 40% compared to the average monthly sales. The company wants to determine the optimal inventory level for electronics to meet this increased demand without overstocking. If the average monthly sales of electronics is 500 units, what should be the target inventory level for the holiday season, assuming they want to maintain a safety stock of 20% of the expected increase in sales?

Accepted Answer

700 units

Question 9

A data engineer is tasked with setting up an ETL (Extract, Transform, Load) process using AWS Glue to process a large dataset stored in Amazon S3. The dataset consists of JSON files that contain nested structures. The engineer needs to ensure that the data is properly transformed and loaded into an Amazon Redshift cluster for analytics. Which of the following steps should the engineer prioritize to optimize the ETL process while ensuring data integrity and performance?

Accepted Answer

Create a Glue Crawler to infer the schema of the JSON files and generate a corresponding Glue Data Catalog table, then use Glue jobs to transform the data before loading it into Redshift.

Question 10

A company is using Amazon Kinesis Data Firehose to stream data from various sources into Amazon S3 for analytics. They have configured their Firehose delivery stream to buffer incoming data for 300 seconds or until the buffer reaches 5 MB, whichever comes first. If the company receives data at a rate of 1 MB every 60 seconds, how long will it take for the Firehose to deliver the buffered data to S3, assuming no other factors affect the delivery process?

Accepted Answer

300 seconds

Question 11

A data analytics team is tasked with evaluating the performance of a new marketing campaign across multiple channels, including social media, email, and direct mail. They have collected data on the number of leads generated from each channel, the cost associated with each channel, and the conversion rates. The team wants to determine the return on investment (ROI) for each channel to identify which one is the most effective. If the total revenue generated from the campaign is $120,000, and the costs associated with social media, email, and direct mail are $20,000, $15,000, and $10,000 respectively, what is the ROI for the email channel?

Accepted Answer

7

Question 12

A data engineer is tasked with loading a large dataset of customer transactions into an Amazon Redshift data warehouse. The dataset is stored in Amazon S3 in CSV format and contains millions of records. The engineer needs to ensure that the loading process is efficient and minimizes the time taken to load the data while also ensuring data integrity. Which data loading technique should the engineer prioritize to achieve optimal performance and reliability during this process?

Accepted Answer

Using the COPY command with appropriate options to load data in parallel

Question 13

A financial services company is implementing a real-time data streaming solution to monitor stock prices and execute trades based on predefined thresholds. They are using AWS Kinesis Data Streams to collect and process the data. The system is designed to trigger alerts when the price of a stock exceeds a certain threshold, which is set dynamically based on the average price over the last 10 minutes. If the average price is calculated as $ P_{avg} = \frac{P_1 + P_2 + \ldots + P_{10}}{10} $, where $ P_i $ represents the stock price at minute $ i $, how should the company ensure that the system can handle spikes in data volume without losing any data?

Accepted Answer

Implement Kinesis Data Firehose to buffer incoming data and automatically scale the number of shards in Kinesis Data Streams based on the volume of incoming data.

Question 14

A retail company is analyzing its sales data using Tableau to identify trends over the past year. The dataset includes sales figures, product categories, and regions. The analyst wants to create a calculated field to determine the percentage of total sales contributed by each product category. If the total sales for the year amount to $500,000 and the sales for the \"Electronics\" category are $150,000, what formula should the analyst use to create this calculated field in Tableau?

Accepted Answer

SUM([Sales]) / 500000 * 100

Question 15

A retail company is analyzing customer purchase data to improve its marketing strategies. They have a large dataset stored in Amazon S3 and want to perform complex queries to derive insights. The company is considering using Amazon Athena for this purpose. Which of the following statements best describes the advantages of using Amazon Athena in this scenario?

Accepted Answer

Amazon Athena allows for serverless querying of data directly in S3, enabling the company to analyze large datasets without the need for provisioning or managing infrastructure.

Question 16

A financial services company is analyzing its customer transaction data stored in Amazon S3. The data is partitioned by year and month, and the company wants to optimize its query performance while minimizing costs. They are considering using Amazon Athena for querying this data. Which of the following strategies would best enhance query performance and reduce costs when using Athena?

Accepted Answer

Partitioning the data by additional dimensions such as region and product type, and converting the data to a columnar format like Parquet or ORC.

Question 17

A data analyst is tasked with optimizing a SQL query that retrieves sales data from a large database containing millions of records. The current query takes an average of 15 seconds to execute. The analyst decides to implement indexing on the columns frequently used in the WHERE clause and to rewrite the query to minimize the use of subqueries. After these changes, the execution time drops to 5 seconds. However, the analyst notices that the performance improvement varies significantly depending on the time of day, with peak hours causing the query to slow down again. What could be the primary reason for this performance inconsistency, and how can the analyst further optimize the query?

Accepted Answer

The database may be experiencing contention for resources during peak hours, and the analyst should consider partitioning the data to improve performance.

Question 18

A retail company has been analyzing its sales data over the past year to identify patterns and trends. They notice that sales of a particular product category have been increasing steadily each month. To quantify this trend, they calculate the month-over-month growth rate using the formula:

Accepted Answer

ext{Growth Rate} = \frac{	ext{Sales}_{	ext{current month}} - 	ext{Sales}_{	ext{previous month}}}{	ext{Sales}_{	ext{previous month}}} 	imes 100 $$

Question 19

A data analyst is tasked with creating a Power BI report that visualizes sales data across multiple regions and product categories. The analyst needs to calculate the percentage of total sales for each product category within each region. The sales data is structured in a table with columns for Region, Product Category, and Sales Amount. To achieve this, the analyst decides to use DAX (Data Analysis Expressions) to create a measure. Which DAX formula correctly calculates the percentage of total sales for each product category within each region?

Accepted Answer

`Sales Percentage = DIVIDE(SUM(Sales[Sales Amount]), CALCULATE(SUM(Sales[Sales Amount]), ALLEXCEPT(Sales, Sales[Region])))`

Question 20

A data analytics team at a retail company is implementing a continuous improvement process to enhance their inventory management system. They have identified several key performance indicators (KPIs) to track, including inventory turnover ratio, stockout rate, and order fulfillment accuracy. After analyzing the data, they find that their inventory turnover ratio is 4, the stockout rate is 15%, and the order fulfillment accuracy is 92%. To improve these metrics, the team decides to apply the Plan-Do-Check-Act (PDCA) cycle. Which of the following actions should they prioritize in the \"Do\" phase to effectively implement their improvement plan?

Accepted Answer

Conduct a pilot test of a new inventory management software that integrates real-time data analytics.

Question 21

A company is redesigning its e-commerce website to improve user experience (UX) and increase conversion rates. They have identified several key areas for improvement, including navigation, load times, and mobile responsiveness. After implementing changes, they conducted A/B testing to compare the new design against the old one. The results showed that the new design had a 25% higher conversion rate. However, user feedback indicated that while navigation was improved, some users found the new layout visually overwhelming. Considering these factors, which approach should the company take to further enhance the user experience while maintaining the increased conversion rate?

Accepted Answer

Conduct user interviews and usability testing to gather qualitative feedback on the new layout and identify specific areas of confusion or frustration.

Question 22

A European company is planning to launch a new mobile application that collects personal data from users, including their location, health information, and preferences. The company aims to analyze this data to improve user experience and target advertisements effectively. However, they are concerned about compliance with the General Data Protection Regulation (GDPR). Which of the following actions should the company prioritize to ensure compliance with GDPR principles regarding data processing and user consent?

Accepted Answer

Implement a clear and concise privacy policy that outlines the purpose of data collection, the types of data collected, and how users can withdraw consent at any time.

Question 23

A retail company is analyzing customer purchasing behavior to optimize its inventory management. They collect data from various sources, including point-of-sale systems, online transactions, and customer feedback surveys. The company aims to determine the average purchase value per customer over a specific period. If the total sales revenue for the month is $150,000 and the number of unique customers is 3,000, what is the average purchase value per customer? Additionally, the company wants to ensure that the data collected adheres to privacy regulations. Which of the following best describes the implications of data collection practices in this context?

Accepted Answer

The average purchase value per customer is $50, and the company must anonymize customer data to comply with regulations.

Question 24

A retail company is analyzing its sales data using Tableau to identify trends over the last year. The dataset includes sales figures, product categories, and regions. The analyst wants to create a visualization that shows the percentage contribution of each product category to total sales for each region. To achieve this, the analyst decides to use a calculated field to determine the percentage contribution. If the total sales for a region is represented as $ T $ and the sales for a specific product category is represented as $ S $, what formula should the analyst use in Tableau to calculate the percentage contribution of each product category?

Accepted Answer

$ \frac{S}{T} \times 100 $

Question 25

A financial analyst is tasked with identifying unusual transactions in a dataset containing millions of records of credit card transactions. The analyst decides to implement an anomaly detection algorithm using a statistical approach. The dataset includes features such as transaction amount, transaction time, merchant category, and user location. After preprocessing the data, the analyst applies a Z-score method to detect anomalies. If the mean transaction amount is $100 and the standard deviation is $15, what threshold should the analyst use to identify transactions as anomalies, assuming a typical threshold of 3 standard deviations from the mean?

Accepted Answer

Transactions greater than $145

Question 26

A retail company is analyzing customer purchase patterns to optimize inventory management. They have collected data on customer purchases over the last year, including the frequency of purchases, average transaction value, and product categories. The company wants to implement a predictive analytics model to forecast future sales and adjust inventory levels accordingly. Which of the following approaches would be most effective in achieving accurate sales forecasts while considering seasonality and trends in the data?

Accepted Answer

Utilizing time series analysis with seasonal decomposition to identify trends and seasonal patterns in the sales data.

Question 27

A financial services company is implementing a new data management strategy to comply with the General Data Protection Regulation (GDPR). They need to ensure that personal data is processed lawfully, transparently, and for specific purposes. The company has identified three key principles to focus on: data minimization, purpose limitation, and storage limitation. If the company collects personal data from customers, which of the following strategies best aligns with these principles to ensure compliance and mitigate risks associated with data breaches?

Accepted Answer

Implementing a policy to only collect data that is necessary for the specific services provided and regularly reviewing the data retention period to ensure it is not kept longer than necessary.

Question 28

A data analyst is tasked with presenting sales data for a retail company over the last year. The analyst has access to monthly sales figures and wants to visualize this data to highlight trends and seasonal variations effectively. Which visualization technique would best allow the analyst to convey both the overall trend and the fluctuations in sales throughout the year?

Accepted Answer

A line chart with markers for each month

Question 29

A data analyst is tasked with presenting sales data for a retail company over the last year. The analyst has access to monthly sales figures and wants to visualize this data to highlight trends and seasonal variations effectively. Which visualization technique would best allow the analyst to convey both the overall trend and the fluctuations in sales throughout the year?

Accepted Answer

A line chart with markers for each month

Question 30

A company is analyzing its data storage needs for a new project that involves large volumes of infrequently accessed data. They are considering various AWS storage classes to optimize costs while ensuring data durability and availability. If the company expects to store 10 TB of data and access it only once a year, which storage class would provide the most cost-effective solution while meeting their requirements for durability and availability?

Accepted Answer

S3 Glacier

Amazon DAS-C01 AWS Certified Data Analytics – Specialty (DAS-C01) Free Practice Test — 30 Questions

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