New Year Sale Special - Limited Time 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: xmaspas7

Easiest Solution 2 Pass Your Certification Exams
  1. Home
  2. Databricks
  3. ML Data Scientist
  4. Databricks-Machine-Learning-Associate - Databricks Certified Machine Learning Associate Exam

Databricks Databricks-Machine-Learning-Associate Practice Test Questions Answers

Exam Code: Databricks-Machine-Learning-Associate (Updated 74 Q&As with Explanation)
 Exam Name: Databricks Certified Machine Learning Associate Exam
 Last Update: 14-Dec-2025
 Demo:  Download Demo

PDF + Testing Engine
Testing Engine
PDF
$43.5   $144.99
$33   $109.99
$30   $99.99
 Add To Cart
 Add To Cart
 Add To Cart

Questions Include:

  • Single Choice: 74 Q&A's

    • Databricks-Machine-Learning-Associate Overview

    Databricks-Machine-Learning-Associate Exam Overview

    Aspect Details
    Exam Name Databricks Machine Learning Associate Exam (ML Data Scientist)
    Certification Databricks Certified Machine Learning Associate
    Duration 120 minutes
    Number of Questions Approximately 60-70 questions
    Exam Format Multiple choice, multiple answers, fill-in-the-blank, and code-based questions
    Passing Score 70% or higher
    Language English
    Exam Mode Online Proctored
    Prerequisites Basic understanding of machine learning concepts, Python, Apache Spark, and Databricks environment.
    Topics Covered 1. Machine Learning Workflow
    2. Data Preprocessing and Feature Engineering
    3. Model Selection and Tuning
    4. Evaluation Metrics
    5. MLFlow and Model Deployment
    6. Spark MLlib
    7. Deep Learning
    8. ML on Databricks Platform
    Preparation Resources 1. Databricks Academy Courses
    2. Databricks documentation and guides
    3. Practice exercises in Databricks workspace
    Tools & Technologies Covered 1. Databricks platform
    2. Apache Spark MLlib
    3. MLflow
    4. Python, SQL, and Scala for ML tasks
    Recommended Experience 6-12 months working with Databricks, machine learning projects, and data science tasks.
    Topics Breakdown (Approx. %) - Machine Learning Workflow: 15-25%
    - Data Preprocessing & Feature Engineering: 15-20%
    - Model Selection & Tuning: 20-25%
    - Model Deployment & Evaluation: 15-20%
    - Tools & Techniques (MLFlow, Spark MLlib): 15-20%

    Top Vendors

    Cisco
    IIBA
    ISC
    ISTQB
    Juniper
    Paloalto Networks
    The Open Group
    VMware
    Splunk
    CIMA
    ACAMS
    CISI
    Cyber AB
    NVIDIA
    Zscaler

    Other Databricks Exams

    Databricks Related Exams

    Reliable Solution To Pass Databricks-Machine-Learning-Associate ML Data Scientist Certification Test

    Our easy to learn Databricks-Machine-Learning-Associate Databricks Certified Machine Learning Associate Exam questions and answers will prove the best help for every candidate of Databricks Databricks-Machine-Learning-Associate exam and will award a 100% guaranteed success!

    Why Databricks-Machine-Learning-Associate Candidates Put Solution2Pass First?

    Solution2Pass is ranked amongst the top Databricks-Machine-Learning-Associate study material providers for almost all popular ML Data Scientist certification tests. Our prime concern is our clients’ satisfaction and our growing clientele is the best evidence on our commitment. You never feel frustrated preparing with Solution2Pass’s Databricks Certified Machine Learning Associate Exam guide and Databricks-Machine-Learning-Associate dumps. Choose what best fits with needs. We assure you of an exceptional Databricks-Machine-Learning-Associate Databricks Certified Machine Learning Associate Exam study experience that you ever desired.

    A Guaranteed Databricks Databricks-Machine-Learning-Associate Practice Test Exam PDF

    Keeping in view the time constraints of the IT professionals, our experts have devised a set of immensely useful Databricks Databricks-Machine-Learning-Associate braindumps that are packed with the vitally important information. These Databricks Databricks-Machine-Learning-Associate dumps are formatted in easy Databricks-Machine-Learning-Associate questions and answers in simple English so that all candidates are equally benefited with them. They won’t take much time to grasp all the Databricks Databricks-Machine-Learning-Associate questions and you will learn all the important portions of the Databricks-Machine-Learning-Associate Databricks Certified Machine Learning Associate Exam syllabus.

    Most Reliable Databricks Databricks-Machine-Learning-Associate Passing Test Questions Answers

    A free content may be an attraction for most of you but usually such offers are just to attract people to clicking pages instead of getting something worthwhile. You need not surfing for online courses free or otherwise to equip yourself to pass Databricks-Machine-Learning-Associate exam and waste your time and money. We offer you the most reliable Databricks Databricks-Machine-Learning-Associate content in an affordable price with 100% Databricks Databricks-Machine-Learning-Associate passing guarantee. You can take back your money if our product does not help you in gaining an outstanding Databricks-Machine-Learning-Associate Databricks Certified Machine Learning Associate Exam exam success. Moreover, the registered clients can enjoy special discount code for buying our products.

    Databricks Databricks-Machine-Learning-Associate Exam Topics Breakdown

    Exam Section Topics Covered Approx. Percentage
    1. Machine Learning Workflow - Understanding ML workflow steps (data collection, cleaning, feature engineering, model selection, etc.)
    - Use of Databricks for ML lifecycle
    - Integrating different tools for ML workflow    		 15-25%
    2. Data Preprocessing and Feature Engineering - Data cleaning and handling missing data
    - Feature selection and extraction
    - Scaling and normalizing data
    - Encoding categorical variables    		 15-20%
    3. Model Selection and Tuning - Selecting appropriate models (classification, regression)
    - Hyperparameter tuning (Grid Search, Random Search)
    - Cross-validation techniques    		 20-25%
    4. Model Evaluation - Evaluation metrics (accuracy, precision, recall, F1 score, ROC-AUC, etc.)
    - Evaluating regression models (MSE, RMSE, etc.)
    - Confusion matrix    		 15-20%
    5. MLFlow and Model Deployment - Logging models with MLflow
    - Model tracking, packaging, and versioning
    - Deploying models on Databricks
    - Serving models for inference    		 15-20%
    6. Apache Spark MLlib - Using MLlib for scaling models
    - Implementing algorithms (classification, regression, clustering, etc.)
    - Distributed machine learning in Spark    		 10-15%
    7. Deep Learning - Understanding neural networks and deep learning concepts
    - Using deep learning frameworks on Databricks    		 5-10%

     

    Databricks Databricks-Machine-Learning-Associate ML Data Scientist Practice Exam Questions and Answers

    For getting a command on the real Databricks Databricks-Machine-Learning-Associate exam format, you can try our Databricks-Machine-Learning-Associate exam testing engine and solve as many Databricks-Machine-Learning-Associate practice questions and answers as you can. These Databricks Databricks-Machine-Learning-Associate practice exams will enhance your examination ability and will impart you confidence to answer all queries in the Databricks Databricks-Machine-Learning-Associate Databricks Certified Machine Learning Associate Exam actual test. They are also helpful in revising your learning and consolidate it as well. Our Databricks Certified Machine Learning Associate Exam tests are more useful than the VCE files offered by various vendors. The reason is that most of such files are difficult to understand by the non-native candidates. Secondly, they are far more expensive than the content offered by us. Read the reviews of our worthy clients and know how wonderful our Databricks Certified Machine Learning Associate Exam dumps, Databricks-Machine-Learning-Associate study guide and Databricks-Machine-Learning-Associate Databricks Certified Machine Learning Associate Exam practice exams proved helpful for them in passing Databricks-Machine-Learning-Associate exam.

    All ML Data Scientist Related Certification Exams

    Databricks-Machine-Learning-Professional Dumps
    Databricks Certified Machine Learning Professional
    Total Questions: 60
    Updated: 14-Dec-2025
    Buy Now

    Databricks Databricks-Machine-Learning-Associate Exam Dumps FAQs

    The Databricks-Machine-Learning-Associate exam is a certification exam offered by Databricks that tests an individual's ability to use the Databricks platform for machine learning. The exam covers building, deploying, and managing machine learning models and workflows on the Databricks platform.

    The Databricks-Machine-Learning-Associate exam typically covers the following key topics:

    • Introduction to Databricks for Machine Learning: Understanding the Databricks environment and its tools for data science and ML workflows.
    • Data Preparation and Feature Engineering: Techniques for preparing data for machine learning, including cleaning, transforming, and feature extraction.
    • Model Building and Training: Understanding how to build, train, and validate machine learning models using tools like MLlib, SparkML, and MLflow.
    • Model Evaluation and Hyperparameter Tuning: Evaluating model performance using metrics and optimizing models through hyperparameter tuning.
    • Deploying Machine Learning Models: Best practices for deploying models to production using MLflow or other deployment tools.
    • Collaboration and Experiment Tracking: Using Databricks to track experiments, manage workflows, and collaborate with team members.

    While there are no formal prerequisites, it is recommended that candidates have:

    • Basic knowledge of machine learning concepts, such as supervised and unsupervised learning, model evaluation, and model tuning.
    • Familiarity with Databricks and its environment for data science and machine learning, including using tools like MLflow and MLlib.
    • Experience with Apache Spark is helpful, as Databricks is built on top of Spark.

    The Databricks-Machine-Learning-Associate exam consists of 45-55 multiple-choice questions.

    You are given 90 minutes to complete the Databricks-Machine-Learning-Associate exam.

    The passing score for the Databricks-Machine-Learning-Associate exam is typically 70% or higher, meaning you need to answer at least 70% of the questions correctly to pass the exam.

    The Databricks-Machine-Learning-Associate exam is a computer-based exam that consists of multiple-choice questions. These questions assess both theoretical knowledge and practical application of machine learning concepts on the Databricks platform.

    The Databricks-Machine-Learning-Associate exam typically costs around $200 USD, but the exact price may vary based on your region and any available promotional offers.

    To prepare for the Databricks-Machine-Learning-Associate exam, consider the following resources:

    • Databricks Academy: Databricks offers official training courses that cover the exam topics in detail. This includes their Machine Learning with Databricks course.
    • Databricks Documentation: Familiarize yourself with Databricks' documentation, particularly on topics like MLlib, MLflow, and Apache Spark.
    • Practice Exercises: Practice using Databricks by working on sample datasets and building machine learning models on the platform.
    • Machine Learning Books: Books on machine learning, especially those focused on practical implementations in Python and Spark, will help reinforce your understanding of core concepts.
    • Online Communities and Forums: Join Databricks communities or forums to discuss topics with other learners and professionals.

    Solution2Pass provides Practice Questions, Study Guide and Dumps for the Databricks Databricks-Machine-Learning-Associate exam. All these products have been designed by the best industry experts and provide you the most dependable information. Each product has its own specific benefits. They all aim at making your Databricks Databricks-Machine-Learning-Associate exam preparation easier and fruitful.

    Databricks-Machine-Learning-Associate Questions and Answers

    Question # 1

    A data scientist has developed a linear regression model using Spark ML and computed the predictions in a Spark DataFrame preds_df with the following schema:

    prediction DOUBLE

    actual DOUBLE

    Which of the following code blocks can be used to compute the root mean-squared-error of the model according to the data in preds_df and assign it to the rmse variable?

    A)

    B)

    C)

    D)

    A.

    Option A

    B.

    Option B

    C.

    Option C

    D.

    Option D

    Question # 2

    Which of the following describes the relationship between native Spark DataFrames and pandas API on Spark DataFrames?

    A.

    pandas API on Spark DataFrames are single-node versions of Spark DataFrames with additional metadata

    B.

    pandas API on Spark DataFrames are more performant than Spark DataFrames

    C.

    pandas API on Spark DataFrames are made up of Spark DataFrames and additional metadata

    D.

    pandas API on Spark DataFrames are less mutable versions of Spark DataFrames

    E.

    pandas API on Spark DataFrames are unrelated to Spark DataFrames

    Question # 3

    A data scientist is using MLflow to track their machine learning experiment. As a part of each of their MLflow runs, they are performing hyperparameter tuning. The data scientist would like to have one parent run for the tuning process with a child run for each unique combination of hyperparameter values. All parent and child runs are being manually started with mlflow.start_run.

    Which of the following approaches can the data scientist use to accomplish this MLflow run organization?

    A.

    Theycan turn on Databricks Autologging

    B.

    Theycan specify nested=True when startingthe child run for each unique combination of hyperparameter values

    C.

    Theycan start each child run inside the parentrun's indented code block usingmlflow.start runO

    D.

    They can start each child run with the same experiment ID as the parent run

    E.

    They can specify nested=True when starting the parent run for the tuningprocess

    Question # 4

    A data scientist wants to use Spark ML to impute missing values in their PySpark DataFrame features_df. They want to replace missing values in all numeric columns in features_df with each respective numeric column’s median value.

    They have developed the following code block to accomplish this task:

    The code block is not accomplishing the task.

    Which reasons describes why the code block is not accomplishing the imputation task?

    A.

    It does not impute both the training and test data sets.

    B.

    The inputCols and outputCols need to be exactly the same.

    C.

    The fit method needs to be called instead of transform.

    D.

    It does not fit the imputer on the data to create an ImputerModel.

    Question # 5

    A data scientist is using Spark ML to engineer features for an exploratory machine learning project.

    They decide they want to standardize their features using the following code block:

    Upon code review, a colleague expressed concern with the features being standardized prior to splitting the data into a training set and a test set.

    Which of the following changes can the data scientist make to address the concern?

    A.

    Utilize the MinMaxScaler object to standardize the training data according to global minimum and maximum values

    B.

    Utilize the MinMaxScaler object to standardize the test data according to global minimum and maximum values

    C.

    Utilize a cross-validation process rather than a train-test split process to remove the need for standardizing data

    D.

    Utilize the Pipeline API to standardize the training data according to the test data's summary statistics

    E.

    Utilize the Pipeline API to standardize the test data according to the training data's summary statistics

    Free Databricks-Machine-Learning-Associate Databricks Exam Questions 6 to 25
    Free Databricks-Machine-Learning-Associate Databricks Exam Questions 26 to 27
    Copyright © 2014-2025 Solution2Pass. All Rights Reserved