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| Certification Vendor: | Huawei |
|---|---|
| Exam Name: | Huawei Certified Specialist Associate - Field-Intelligent Collaboration V1.0 |
| Exam Number: | H19-341_V1.0 |
| Exam Duration: | 90 minutes |
| Passing Score: | 600/1000 |
| Certificate Validity Period: | 3 years |
| Available Languages: | English, Chinese |
| Exam Format: | Multiple-choice, True/False, Single-choice |
| Exam Price: | $100 USD |
| Real Exam Qty: | 60-62 |
| Related Certifications: | HCSP-Field-Intelligent Collaboration HCSA-Sales-Intelligent Collaboration |
| Recommended Training: | HCSA-Field-Intelligent Collaboration V1.0 Training Course |
| Exam Registration: | Huawei Talent Official Site Pearson VUE Registration |
| Sample Questions: | Huawei H19-341_V1.0 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended basic knowledge of video conferencing and collaboration products |
| Official Syllabus URL: | https://e.huawei.com/en/talent/#/cert/product-details?certifiedProductId=795 |
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NEW QUESTION # 35
What is the max sound pickup distance supported by Huawei Bar 310?
Answer: B
Explanation:
The Huawei CloudLink Bar 310 features an integrated high-sensitivity microphone array. According to its technical data sheet, the built-in microphones are optimized to pick up clear human speech within a 8-meter radius in a standard acoustic environment. For rooms larger than this, the system can be expanded using external wired or wireless microphones, but the standalone "Max sound pickup distance" of the unit itself is 8 meters.
NEW QUESTION # 36
Which statements are correct about Huawei Bar 500? (Select all that apply)
Answer: A,C,D
Explanation:
* Bandwidth Efficiency (A & D): The Bar 500 utilizes VME (Video Motion Enhancement) combined with H.265 encoding. This allows the device to provide a 1080p 30fps high-definition experience at a very low bitrate of 384 Kbps , making it ideal for networks with limited bandwidth.
* Audio Quality (C): The Bar 500 is designed for high-fidelity audio with extremely low Total Harmonic Distortion (THD) of less than 0.1%, ensuring clear and natural voice reproduction.
* Packet Loss (B) is incorrect: Huawei's patented SEC (Super Error Concealment) technology actually supports up to 30% video anti-packet loss and up to 80% audio anti-packet loss. The statement claiming only "20%" is an underestimation of the device's technical capability as per the latest certification standards.
NEW QUESTION # 37
What standard SDKs can IdeaHub provide for 3rd-party ISVs for quick integration and customization services? (Select All that can apply)
Answer: A,B,D
NEW QUESTION # 38
What is the maximum power of Huawei IdeaHub S2 86-inch?
Answer: A
Explanation:
The power consumption of the IdeaHub series scales with the size of the 4K LED backlight panel. For the IdeaHub S2 86-inch model, which is the largest in the series, the maximum power consumption is rated at
450W . This occurs when the screen is at maximum brightness and the internal computing system (OPS and built-in hardware) is under full load. In comparison, the 65-inch model typically consumes around 220W-
250W, and the 75-inch model is rated around 350W.
NEW QUESTION # 39
Which AI algorithms does Huawei IdeaHub S2 support to improve voice quality? (Select All that can apply)
Answer: A,B,D,E
Explanation:
The IdeaHub S2 utilizes a suite of intelligent audio processing algorithms to ensure clear communication:
* AEC (Acoustic Echo Cancellation): Eliminates the feedback of audio from the speakers into the microphones.
* AGC (Automatic Gain Control): Automatically adjusts the volume of the speaker's voice to a consistent level, regardless of their distance from the device.
* ANS (Automatic Noise Suppression): Uses AI to identify and filter out background noises like fans, air conditioners, or typing.
* DNN (Deep Neural Network): Specifically used for AI de-reverberation , allowing the system to remove echoic room reflections and make the speaker's voice sound as if they are in a professional studio environment.
ADC (Analog-to-Digital Converter) (D) is a standard hardware component used to convert electrical signals into data, but it is not an AI algorithm.
NEW QUESTION # 40
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