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| Certification Vendor: | Amazon Web Services (AWS) |
|---|---|
| Exam Name: | AWS Certified Cloud Practitioner |
| Exam Number: | CLF-C02 |
| Available Languages: | Simplified Chinese, English, Japanese, Korean |
| Exam Price: | $100 USD |
| Related Certifications: | AWS Certified Cloud Practitioner |
| Certificate Validity Period: | 3 years |
| Exam Format: | Multiple Response, Multiple Choice |
| Passing Score: | 700 out of 1000 |
| Real Exam Qty: | 65 |
| Exam Duration: | 90 minutes |
| Sample Questions: | Amazon CLF-C02 Sample Questions |
| Exam Way: | Online proctored exam or testing center (Pearson VUE) |
| Pre Condition: | No prerequisites. Recommended at least 6 months of exposure to the AWS Cloud. |
| Official Syllabus URL: | https://aws.amazon.com/certification/certified-cloud-practitioner/ |
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NEW QUESTION # 201
A company wants to track its AWS account's service costs. The company also wants to receive notifications when costs are forecasted to reach a specific level.
Which AWS service or tool provides this functionality?
Answer: C
Explanation:
AWS Budgets gives you the ability to set custom budgets that alert you when your costs or usage exceed (or are forecasted to exceed) your budgeted amount. You can also use AWS Budgets to set reservation utilization or coverage targets and receive alerts when your utilization drops below the threshold you define2.
NEW QUESTION # 202
A company wants to test a new application.
Which AWS principle will help the company test the application?
Answer: B
Explanation:
AWS provides the flexibility to scale resources up or down on demand, enabling companies to test new applications without making long-term commitments. This principle allows for cost efficiency and agility during testing and development. The other options do not specifically highlight the benefits of flexible, on- demand resource scaling.
NEW QUESTION # 203
An AWS user wants to proactively detect when an instance or account might be compromised or if there are threats from attacks.
Which AWS service should the user choose?
Answer: B
Explanation:
Amazon GuardDutyis a threat detection service that continuously monitors AWS accounts and workloads for malicious activity and unauthorized behavior to help protect your AWS resources. It uses machine learning, anomaly detection, and integrated threat intelligence to detect when an instance or account might be compromised or if there are threats from attacks.
B . AWS WAF: Incorrect, as it is a web application firewall that protects against common web exploits but does not provide comprehensive threat detection.
C . AWS Shield: Incorrect, as it provides protection against DDoS attacks but does not detect compromises within AWS accounts.
D . Amazon Inspector: Incorrect, as it is a service that helps improve the security and compliance of applications deployed on AWS by assessing for vulnerabilities, not for threat detection.
AWS Cloud Reference:
Amazon GuardDuty
NEW QUESTION # 204
A company wants to integrate natural language processing (NLP) into business intelligence (Bl) dashboards.
The company wants to ask questions and receive answers with relevant visualizations.
Which AWS service or tool will meet these requirements?
Answer: B
Explanation:
Explanation
Amazon QuickSight Q is a natural language query feature that lets you ask questions about your data using everyday language and get answers in seconds. You can type questions such as "What are the total sales by region?" or "How did marketing campaign A perform?" and get answers in the form of relevant visualizations, such as charts or tables. You can also use Q to drill down into details, filter data, or perform calculations. Q uses machine learning to understand your data and your intent, and provides suggestions and feedback to help you refine your questions.
NEW QUESTION # 205
A company wants to create a chatbot and integrate the chatbot with its current web application.
Which AWS service will meet these requirements?
Answer: A
Explanation:
Explanation
The AWS service that will meet the requirements of the company that wants to create a chatbot and integrate the chatbot with its current web application is Amazon Lex. Amazon Lex is a service that helps customers build conversational interfaces using voice and text. The company can use Amazon Lex to create a chatbot that can understand natural language and respond to user requests, using the same deep learning technologies that power Amazon Alexa. Amazon Lex also provides easy integration with other AWS services, such as Amazon Comprehend, Amazon Polly, and AWS Lambda, as well as popular platforms, such as Facebook Messenger, Slack, and Twilio. Amazon Lex helps customers create engaging and interactive chatbots for their web applications. Amazon Kendra, Amazon Textract, and Amazon Polly are not the best services to use for this purpose. Amazon Kendra is a service that helps customers provide accurate and natural answers to natural language queries using machine learning. Amazon Textract is a service that helps customers extract text and data from scanned documents using optical character recognition (OCR) and machine learning. Amazon Polly is a service that helps customers convert text into lifelike speech using deep learning. These services are more useful for different types of natural language processing and generation tasks, rather than creating and integrating chatbots.
NEW QUESTION # 206
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