Get Graded Exploring Data Transformation with Google Cloud Quiz Answers
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Exploring Data Transformation with Google Cloud Module 02 Quiz Answers
Q1. An online retailer uses a smart analytics tool to ingest real-time customer behavior data to surface the best suggestions for particular users. How can machine learning guide this activity?
Correct Answer: Through machine learning, with every click that the user makes, their website experience becomes increasingly personalized.
Explanation: Machine learning can analyze user behavior in real time, adjusting recommendations based on actions taken during the browsing experience, making the suggestions more relevant and personalized.
Q2. Which data type is highly organized and well-defined?
Correct Answer: Structured data
Explanation: Structured data is organized into well-defined formats such as tables, rows, and columns, making it easy to store, search, and analyze.
Q3. New cloud tools make it possible to harness the potential of unstructured data. Which of these use cases best demonstrates this?
Correct Answer: Analyzing social media posts to identify sentiment toward a brand
Explanation: Unstructured data includes things like text, images, and social media posts. Analyzing social media content for sentiment is an example of using unstructured data to gain insights.
Q4. A car insurance company has a large database that stores customer details, including the vehicles they own and past claims. The structure of the database means that information is stored in tables, rows, and columns. What type of database is this?
Correct Answer: A relational database
Explanation: Relational databases store data in tables, rows, and columns, and are ideal for structured data where relationships between different data points can be clearly defined.
Q5. Which is a repository designed to ingest, store, explore, process, and analyze any type or volume of raw data, regardless of the source?
Correct Answer: Data lake
Explanation: A data lake is designed to store large volumes of unstructured, semi-structured, and structured data, allowing organizations to process and analyze it without predefined schemas.
Q6. What is Google Cloud’s modern and serverless data warehousing solution?
Correct Answer: BigQuery
Explanation: BigQuery is Google Cloud’s fully managed, serverless data warehouse solution designed for analyzing large datasets using SQL and big data technologies.
Q7. Which represents the proprietary customer datasets that a business collects from customer or audience transactions and interactions?
Correct Answer: First-party data
Explanation:
First-party data refers to data collected directly by a business from its customers or users, such as through website interactions, transactions, and customer relationships.
Q8. A solar energy company wants to analyze weather data to better understand the seasonal impact on their business. On which platform could they find free-to-use weather datasets?
Correct Answer: Google Cloud Marketplace
Explanation: The Google Cloud Marketplace offers datasets, including weather data, which can be used to integrate into cloud applications and analytics.
Q9. Which step in the data value chain is where collected raw data is transformed into a form that’s ready to derive insights from?
Correct Answer: Data processing
Explanation: Data processing involves cleaning, organizing, and transforming raw data into a format that can be easily analyzed and used to derive insights.
Q10. What is data governance?
Correct Answer: The process of setting internal data policies and ensuring compliance with external standards
Explanation: Data governance refers to the policies, standards, and procedures an organization puts in place to manage, secure, and ensure the compliance of its data throughout its lifecycle.
Exploring Data Transformation with Google Cloud Module 03 Quiz Answers
Q1. Data in the form of video, pictures, and audio recordings is well suited to object storage. Which product is best for storing this kind of data?
Correct Answer: Cloud Storage
Explanation: Cloud Storage is designed for storing unstructured data such as videos, pictures, and audio recordings. It is highly scalable and suitable for large volumes of data.
Q2. A data analyst for an online retailer must produce a sales report at the end of each quarter. Which Cloud Storage class should the retailer use for data accessed every 90 days?
Correct Answer: Coldline
Explanation: Coldline is optimized for data that is accessed less frequently, such as once every 90 days or more. It offers lower storage costs compared to the Standard class.
Q3. Which characteristic is true for all Cloud Storage classes?
Correct Answer: Geo-redundancy if data is stored in a multi-region or dual-region
Explanation: Cloud Storage classes support geo-redundancy when data is stored in multi-region or dual-region locations, ensuring high durability and availability.
Q4. Which is the best SQL-based storage option for a transactional workload that requires local or regional scalability?
Correct Answer: Cloud SQL
Explanation: Cloud SQL is ideal for transactional workloads that require local or regional scalability. It supports traditional relational databases such as MySQL, PostgreSQL, and SQL Server.
Q5. What are the two services that BigQuery provides?
Correct Answer: Storage and analytics
Explanation: BigQuery is a fully managed data warehouse solution that provides both storage and analytics capabilities to handle large-scale data analysis.
Q6. BigQuery works in a multicloud environment. How do organizations benefit from this feature?
Correct Answer: Data teams can eradicate data silos by analyzing data across multiple cloud providers.
Explanation: BigQuery’s multicloud capabilities allow organizations to analyze data across multiple cloud environments, helping eliminate data silos and enabling more integrated insights.
Q7. What is Google’s big data database service that powers many core Google services, including Google Search, Google Analytics, Google Maps Platform, and Gmail?
Correct Answer: Bigtable
Explanation: Bigtable is a NoSQL database service used by Google for handling large-scale, low-latency applications like Google Search and Gmail.
Q8. Which would be the best SQL-based storage option for a transactional workload that requires global scalability?
Correct Answer: Spanner
Explanation: Spanner is designed for global scalability and is suitable for transactional workloads that need to be distributed across multiple regions and continents.
Q9. Which strategy describes when databases are migrated from on-premises and private cloud environments to the same type of database hosted by a public cloud provider?
Correct Answer: Lift and shift
Explanation: Lift and shift is a migration strategy where existing workloads are moved to the cloud without significant changes, using the same type of database.
Q10. Which Google Cloud product can be used to synchronize data across databases, storage systems, and applications?
Correct Answer: Datastream
Explanation: Datastream is a serverless change data capture (CDC) and replication service that synchronizes data across databases, storage systems, and applications.
Exploring Data Transformation with Google Cloud Module 04 Quiz Answers
Q1. What Google Cloud business intelligence platform is designed to help individuals and teams analyze, visualize, and share data?
Correct Answer: Looker
Explanation: Looker is a powerful business intelligence (BI) platform from Google Cloud designed for data exploration, analysis, visualization, and sharing insights across teams.
Q2. What feature of Looker makes it easy to integrate into existing workflows and share with multiple teams at an organization?
Correct Answer: It’s 100% web based.
Explanation: Being fully web-based makes Looker highly accessible and easy to integrate into existing workflows, allowing multiple teams to collaborate seamlessly.
Q3. Streaming analytics is the processing and analyzing of data records continuously instead of in batches. Which option is a source of streaming data?
Correct Answer: Temperature sensors
Explanation: Temperature sensors are a classic example of a source for streaming data, as they continuously collect and send data that can be analyzed in real-time.
Q4. What is Google Cloud’s distributed messaging service that can receive messages from various device streams such as gaming events, Internet of Things (IoT) devices, and application streams?
Correct Answer: Pub/Sub
Explanation: Pub/Sub is Google Cloud’s messaging service designed to handle real-time data streams from various sources, including IoT devices and application events.
Q5. Which statement is true about Dataflow?
Correct Answer: It handles infrastructure setup and maintenance for processing pipelines.
Explanation: Google Cloud Dataflow automates the setup, scaling, and management of infrastructure needed to process data in real-time or batch pipelines, simplifying the process for users.
Q6. What does ETL stand for in the context of data processing?
Correct Answer: Extract, transform, and load
Explanation: ETL is a common data processing methodology used to extract data from different sources, transform it into a usable format, and load it into a destination database or data warehouse.
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