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1.
A travel website needs to present a graphical quantitative summary of its daily bookings to website visitors for marketing purposes. The website has millions of visitors per day, but wants to control costs by implementing the least-expensive solution for this visualization.
What is the most cost-effective solution?
What is the most cost-effective solution?
2.
An organization needs a data store to handle the following data types and access patterns:
Faceting
Search
Flexible schema (JSON) and fixed schema
Noise word elimination
Which data store should the organization choose?
Faceting
Search
Flexible schema (JSON) and fixed schema
Noise word elimination
Which data store should the organization choose?
3.
The items in the table contains several string attributes describing the transaction as well as a JSON attribute containing the shopping cart and other details corresponding to the transaction. Average item size is - 250KB, most of which is associated with the JSON attribute. The average customer generates – 3GB of data per month.
Customers access the table to display their transaction history and review transaction details as needed. Ninety percent of the queries against the table are executed when building the transaction history view, with the other 10% retrieving transaction details. The table is partitioned on CustomerID and sorted on transaction date.
The client has very high read capacity provisioned for the table and experiences very even utilization, but complains about the cost of Amazon DynamoDB compared to other NoSQL solutions. Which strategy will reduce the cost associated with the client’s read queries while not degrading quality?
Customers access the table to display their transaction history and review transaction details as needed. Ninety percent of the queries against the table are executed when building the transaction history view, with the other 10% retrieving transaction details. The table is partitioned on CustomerID and sorted on transaction date.
The client has very high read capacity provisioned for the table and experiences very even utilization, but complains about the cost of Amazon DynamoDB compared to other NoSQL solutions. Which strategy will reduce the cost associated with the client’s read queries while not degrading quality?
4.
A company that manufactures and sells smart air conditioning units also offers add-on services so that customers can see real-time dashboards in a mobile application or a web browser. Each unit sends its sensor information in JSON format every two seconds for processing and analysis. The company also needs to consume this data to predict possible equipment problems before they occur. A few thousand pre-purchased units will be delivered in the next couple of months. The company expects high market growth in the next year and needs to handle a massive amount of data and scale without interruption.
Which ingestion solution should the company use?
Which ingestion solution should the company use?
5.
A customer is collecting clickstream data using Amazon Kinesis and is grouping the events by IP address into 5-minute chunks stored in Amazon S3. Many analysts in the company use Hive on Amazon EMR to analyze this data. Their queries always reference a single IP address. Data must be optimized for querying based on IP address using Hive running on Amazon EMR.
What is the most efficient method to query the data with Hive?
What is the most efficient method to query the data with Hive?
6.
A customer needs to determine the optimal distribution strategy for the ORDERS fact table in its Redshift schema. The ORDERS table has foreign key relationships with multiple dimension tables in this schema. How should the company determine the most appropriate distribution key for the ORDERS table?
7.
An Amazon Kinesis stream needsto be encrypted.
Which approach should be used to accomplish this task?
Which approach should be used to accomplish this task?
8.
An online photo album app has a key design feature to support multiple screens (e.g, desktop, mobile phone, and tablet) with high-quality displays. Multiple versions of the image must be saved in different resolutions and layouts. The image-processing Java program takes an average of five seconds per upload, depending on the image size and format. Each image upload captures the following image metadata: user, album, photo label, upload timestamp.
The app should support the following requirements:
The app should support the following requirements:
- Hundreds of user image uploads per second
- Maximum image upload size of 10 MB
- Maximum image metadata size of 1 KB
- Image displayed in optimized resolution in all supported screens no later than one minute after image upload
9.
A data engineer is running a DWH on a 25-node Redshift cluster of a SaaS service. The data engineer needs to build a dashboard that will be used by customers. Five big customers represent 80% of usage, and there is a long tail of dozens of smaller customers. The data engineer has selected the dashboarding tool. How should the data engineer make sure that the larger customer workloads do NOT interfere with the smaller customer workloads?
10.
A company is using Amazon Machine Learning as part of a medical software application. The application will predict the most likely blood type for a patient based on a variety of other clinical tests that are available when blood type knowledge is unavailable. What is the appropriate model choice and target attribute combination for this problem?