
MidTerm MLOps
Authored by Renovita Renovita
Computers
University
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40 questions
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1.
MULTIPLE SELECT QUESTION
1 min • 1 pt
3 alasan utama kenapa suatu perusahaan tidak pernah men-deploy model mereka ...
lack of talent
lack of process to manage change
lack of automated system
lack of passions
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Prinsip-prinsip, alat, dan teknik yang membuat model dapat diubah ukuran (scalable), kolaboratif, dan dapat direproduksi disebut ...
MLOps
DevOps
DataOps
CloudOps
3.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
1. Iterate
2. Build Machine Learning
3. Access, understand and Clean Data
4. Define Business Goal
5. Deploy Machine Learning
1. Iterate
2. Build Machine Learning
3. Access, understand and Clean Data
4. Define Business Goal
5. Deploy Machine Learning
Urutan yang benar dari "Simple Machine Learning Model Life Cycle" adalah ...
4-3-2-5-1
4-2-5-3-1
4-5-3-2-1
4-3-5-2-1
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Tahap awal dalam siklus hidup pengembangan model yang bertujuan untuk mengembangkan dan melatih model machine learning, disebut ...
Develop & Train Model
Deploy Model
Monitor Model
Validate Model
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Apa yang dimaksud dengan Manajemen Model dalam konteks MLOps?
Melatih model menggunakan data latihan
Menyimpan dan melacak versi model
Menyelesaikan masalah dalam model
Menampilkan hasil model kepada pengguna
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Mengapa reproduktibilitas (reproducibility) penting dalam MLOps?
Untuk membuat model lebih kompleks
Untuk memastikan hasil yang konsisten dari eksperimen
Untuk mengurangi jumlah model yang dihasilkan
Untuk menghasilkan lebih banyak data latihan
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Risiko yang terjadi ketika suatu model sudah di deploy adalah ...
Penurunan akurasi atau kelayakan model seiring berjalannya waktu
Model menghasilkan prediksi buruk untuk sampel tertentu
Model tidak tersedia untuk jangka waktu tertentu
Semuanya Benar
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