Optimizing query that makes 3 API calls to the MongoDB server

Question

const user_schema = mongoose.Schema(
  {
    user_name: {
      type: String,
      required: true,
    },
  },
  {
    collection: `user`,
    timestamps: true,
  }
);


const test_schema = mongoose.Schema(
  {
    test_name: {
      type: String,
      required: true,
    },
  },
  {
    collection: `test`,
    timestamps: true,
  }
);

const score_schema = mongoose.Schema(
  {
    user_id: {
      type: mongoose.Schema.Types.ObjectId,
      ref: "user",
      required: true,
    },
    test_id: {
      type: mongoose.Schema.Types.ObjectId,
      ref: "test",
      required: true,
    },
    test_score: {
      type: Number,
      required: true,
    },
  },
  {
    collection: `score`,
    timestamps: true,
  }
);

query:

Given an array of user_id and an array of test_id, query the score model to find out the test scores. To get the array of user_id, a set of conditions is given and the user model must be queried to find the set of users matching the conditions. To get the array of test_id, a set of conditions is given and the test model must be queried to find the set of tests matching the conditions.

What needs to be done:

1. Make one query request to the MongoDB server to get the array of user_id.
2. Make a separate query request to the MongoDB server to get the array of test_id.
3. Make another query request to the MongoDB server to get the test scores:

db.getCollection("score").aggregate([
  {$match: {$and: {user_id: {$in: array_of_user_id}, {test_id: {$in: array_of_test_id}}}}}
])

Is this the most optimal way to get the test scores? Is it possible to make just one request to the MongoDB server?