Google Machine Learning Engineer Exam Dumps 2025
Google Machine Learning Engineer Exam Dumps 2025
Visit Official SkillCertPro Website :-
For a full set of 655 questions. Go to
https://skillcertpro.com/product/google-machine-learning-engineer-exam-questions/
SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
SkillCertPro updates exam questions every 2 weeks.
You will get life time access and life time free updates
SkillCertPro assures 100% pass guarantee in first attempt.
Question 1:
How can you implement rollback for a data pipeline if an update causes issues?
A. By deleting the pipeline
B. By using version control to revert to a previous stable version
C. By increasing the pipeline resources
D. By changing the data source
Answer: B
Explanation:
B. By using version control to revert to a previous stable version
Using version control is the most effective way to implement rollback for a data pipeline. By tracking changes to the pipeline code, configurations, and scripts, you can easily revert to a previous stable version if a new update introduces issues. This ensures that the pipeline remains functional and minimizes downtime.
Why other options are incorrect:
A. By deleting the pipeline: Deleting the pipeline would remove all its configurations and code, making it difficult to recover.
C. By increasing the pipeline resources: Increasing resources might help with performance issues but won‘t address the underlying problem causing the issue.
D. By changing the data source: Changing the data source might not resolve the issue and could introduce new problems.
Question 2:
What does “data portability“ mean under GDPR?
A. The ability to transfer data to any cloud provider
B. The right to receive personal data in a structured, commonly used format and transfer it to another controller
C. The requirement to store data in multiple locations
D. The obligation to encrypt data
Answer: B
Explanation:
B. The right to receive personal data in a structured, commonly used format and transfer it to another controller
Data portability under GDPR gives individuals the right to obtain their personal data in a structured, commonly used, and machine-readable format. They can then transmit this data to another controller (another organization) without hindrance. This right empowers individuals to take control of their personal data and switch service providers if they wish.
Why other options are incorrect:
A. The ability to transfer data to any cloud provider: While data portability allows individuals to transfer their data, it‘s not limited to cloud providers. It can be transferred to any controller.
C. The requirement to store data in multiple locations: Data portability is not about data storage but about the individual‘s right to access and transfer their data.
D. The obligation to encrypt data: Encryption is a data security measure, not a data portability requirement. While encryption can be used to protect data during transfer, it‘s not the same as data portability.
Question 3:
Which Google Cloud feature helps ensure data integrity by generating hash values for data verification?
A. Cloud IAM
B. Cloud Data Loss Prevention (DLP)
C. Cloud KMS
D. Cloud Storage Object Versioning
Answer: D
Explanation:
D. Cloud Storage Object Versioning
Cloud Storage Object Versioning creates a new version of an object each time it‘s modified, allowing you to restore previous versions if necessary. This feature helps ensure data integrity by:
Preventing accidental data loss: If a file is accidentally overwritten or deleted, you can restore a previous version.
Detecting data corruption: By comparing the hash values of different versions, you can identify any corruption or tampering.
Auditing and compliance: Object versioning can be used to track changes to data and meet compliance requirements.
Why other options are incorrect:
A. Cloud IAM: An identity and access management service for controlling access to Google Cloud resources.
B. Cloud DLP: A data loss prevention service that helps you identify, classify, and protect sensitive data.
C. Cloud KMS: A key management service for managing encryption keys. While it can be used to protect data at rest, it‘s not directly related to data integrity verification.
Question 4:
What is a common challenge when implementing streaming data pipelines at scale?
A. Low latency in data processing
B. Handling large volumes of rapidly changing data
C. High throughput data ingestion
D. Both B and C
Answer: D
Explanation:
D. Both B and C
Implementing streaming data pipelines at scale presents several challenges, including:
Handling large volumes of rapidly changing data: As the volume of data increases, the pipeline needs to be able to handle high throughput without compromising performance.
High-throughput data ingestion: The pipeline must be able to ingest data from various sources at high speeds.
Low-latency processing: To derive real-time insights, the pipeline needs to process data with minimal latency.
Addressing these challenges requires careful design, robust infrastructure, and efficient algorithms.
Question 5:
Which feature of Google Cloud Pub/Sub ensures that messages are delivered at least once to subscribers?
A. Message duplication
B. Exactly-once delivery
C. At-least-once delivery
D. Load balancing
Answer: C
Explanation:
At-least-once delivery
At-least-once delivery guarantees that each message published to a topic will be delivered to at least one subscriber. This ensures that no messages are lost, even in the event of failures or network issues. However, it‘s possible that a message might be delivered multiple times to the same subscriber.
Why other options are incorrect:
A. Message duplication: While Pub/Sub may deliver messages multiple times to a subscriber, this is not a guarantee. At-least-once delivery ensures that each message is delivered at least once, but it may be delivered multiple times.
B. Exactly-once delivery: Exactly-once delivery ensures that each message is delivered exactly once to each subscriber. While this is a desirable property, it‘s more complex to achieve and may require additional mechanisms like idempotent message processing.
D. Load balancing: Load balancing is a technique used to distribute traffic across multiple servers to improve performance and reliability.1 It‘s not directly related to message delivery guarantees.
For a full set of 655 questions. Go to
https://skillcertpro.com/product/google-machine-learning-engineer-exam-questions/
SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
SkillCertPro updates exam questions every 2 weeks.
You will get life time access and life time free updates
SkillCertPro assures 100% pass guarantee in first attempt.
Question 6:
What is the primary purpose of data anonymization?
A. To encrypt data for security
B. To improve data processing speed
C. To protect individuals‘ privacy by removing personally identifiable information (PII)
D. To comply with all global data regulations
Answer: C
Explanation:
C. To protect individuals‘ privacy by removing personally identifiable information (PII)
Data anonymization is a process that involves removing or masking personally identifiable information (PII) from a dataset. This is done to protect individuals‘ privacy and comply with data privacy regulations like GDPR and CCPA.
By anonymizing data, organizations can still analyze and use the data for various purposes without compromising individual privacy.
Why other options are incorrect:
A. To encrypt data for security: Encryption is a security measure to protect data from unauthorized access. While it can be used in conjunction with anonymization, it‘s not the primary purpose of anonymization.
B. To improve data processing speed: Anonymization doesn‘t directly impact data processing speed.
D. To comply with all global data regulations: While anonymization can help comply with data privacy regulations, it‘s not a guarantee of compliance with all global regulations. Specific regulations may have additional requirements beyond anonymization.
Question 7:
What does the term “data minimization“ refer to in data privacy?
A. Storing data for the shortest possible time
B. Collecting only the data necessary for a specific purpose
C. Encrypting data to minimize access
D. Compressing data to reduce storage requirements
Answer: B
Explanation:
B. Collecting only the data necessary for a specific purpose
Data minimization is a data privacy principle that emphasizes collecting and processing only the minimum amount of personal data required to achieve a specific purpose. This principle helps to reduce the risk of data breaches and misuse of personal information.
By minimizing the amount of data collected, organizations can:
Reduce the risk of data breaches: Less data means fewer opportunities for data to be compromised.
Improve data security: Fewer data points to protect.
Enhance privacy: Limit the amount of personal information that is collected and stored.
Why other options are incorrect:
A. Storing data for the shortest possible time: While data retention policies are important for data privacy, data minimization focuses on collecting only the necessary data.
C. Encrypting data to minimize access: Encryption is a security measure to protect data in transit and at rest. While it‘s important for data privacy, it‘s not the same as data minimization.
D. Compressing data to reduce storage requirements: Data compression reduces the storage size of data but doesn‘t address the core principle of data minimization.
Question 8:
What is the primary focus of the Health Insurance Portability and Accountability Act (HIPAA)?
A. Financial data protection
B. Educational data privacy
C. Health information privacy and security
D. Consumer data protection
Answer: C
Explanation:
C. Health information privacy and security
The Health Insurance Portability and Accountability Act (HIPAA) is a US federal law that sets standards for safeguarding sensitive patient health information. It protects the privacy and security of individuals‘ health records.
Why other options are incorrect:
A. Financial data protection: While HIPAA covers financial information related to healthcare, its primary focus is on health information.
B. Educational data privacy: This is primarily covered by the Family Educational Rights and Privacy Act (FERPA).
D. Consumer data protection: This is a broader category that includes various regulations like the GDPR and CCPA, which are not specifically focused on health information.
Question 9:
Which of the following is a fundamental right under the GDPR?
A. The right to permanent data retention
B. The right to be forgotten (data erasure)
C. The right to unlimited data access
D. The right to free data processing
Answer: B
Explanation:
B. The right to be forgotten (data erasure)
The right to be forgotten is a fundamental right under the GDPR, which allows individuals to request the deletion of their personal data under certain circumstances. This right empowers individuals to control their personal information and protect their privacy.
Why other options are incorrect:
A. The right to permanent data retention: This is not a right under GDPR. In fact, GDPR emphasizes the importance of data minimization and retention limits.
C. The right to unlimited data access: While individuals have the right to access their personal data, this right is not unlimited.
D. The right to free data processing: There is no such right under GDPR. Organizations may charge reasonable fees for certain data requests.
Question 10:
What is the purpose of data encryption in transit?
A. To protect data from unauthorized access while being transmitted
B. To improve data transmission speed
C. To reduce data size during transmission
D. To comply with data retention policies
Answer: A
Explanation:
A. To protect data from unauthorized access while being transmitted
Data encryption in transit is a security measure that protects data as it moves between systems or networks. It involves encrypting data using cryptographic algorithms, making it unreadable to unauthorized individuals who may intercept the data during transmission.
Why other options are incorrect:
B. To improve data transmission speed: Encryption itself doesn‘t directly improve transmission speed.
C. To reduce data size during transmission: Data compression techniques are used to reduce data size.
D. To comply with data retention policies: Data retention policies govern how long data is stored. Encryption is a security measure, not a data retention policy.
For a full set of 655 questions. Go to
https://skillcertpro.com/product/google-machine-learning-engineer-exam-questions/
SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
SkillCertPro updates exam questions every 2 weeks.
You will get life time access and life time free updates
SkillCertPro assures 100% pass guarantee in first attempt.