diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstController.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstController.h
index 6b6fc71..9669d8c0 100644
--- a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstController.h
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstController.h
@@ -57,7 +57,8 @@
   public:
     using FallbackFunction =
             std::function<nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>(
-                    const nn::Request&, nn::MeasureTiming)>;
+                    const nn::Request&, nn::MeasureTiming, const nn::OptionalTimePoint&,
+                    const nn::OptionalDuration&)>;
 
     /**
      * NN runtime memory cache.
@@ -168,7 +169,9 @@
 
     // See IBurst::execute for information on this method.
     nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> execute(
-            const nn::Request& request, nn::MeasureTiming measure) const override;
+            const nn::Request& request, nn::MeasureTiming measure,
+            const nn::OptionalTimePoint& deadline,
+            const nn::OptionalDuration& loopTimeoutDuration) const override;
 
   private:
     mutable std::atomic_flag mExecutionInFlight = ATOMIC_FLAG_INIT;
diff --git a/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp b/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp
index eedf591..7a17f25 100644
--- a/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp
+++ b/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp
@@ -276,7 +276,9 @@
 }
 
 nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
-ExecutionBurstController::execute(const nn::Request& request, nn::MeasureTiming measure) const {
+ExecutionBurstController::execute(const nn::Request& request, nn::MeasureTiming measure,
+                                  const nn::OptionalTimePoint& deadline,
+                                  const nn::OptionalDuration& loopTimeoutDuration) const {
     // This is the first point when we know an execution is occurring, so begin to collect
     // systraces. Note that the first point we can begin collecting systraces in
     // ExecutionBurstServer is when the RequestChannelReceiver realizes there is data in the FMQ, so
@@ -289,7 +291,7 @@
         version > nn::Version::ANDROID_Q) {
         // fallback to another execution path if the packet could not be sent
         if (kFallback) {
-            return kFallback(request, measure);
+            return kFallback(request, measure, deadline, loopTimeoutDuration);
         }
         return NN_ERROR() << "Request object has features not supported by IBurst::execute";
     }
@@ -323,7 +325,7 @@
     if (!sendStatus.ok()) {
         // fallback to another execution path if the packet could not be sent
         if (kFallback) {
-            return kFallback(request, measure);
+            return kFallback(request, measure, deadline, loopTimeoutDuration);
         }
         return NN_ERROR() << "Error sending FMQ packet: " << sendStatus.error();
     }
diff --git a/neuralnetworks/1.2/utils/src/ExecutionBurstServer.cpp b/neuralnetworks/1.2/utils/src/ExecutionBurstServer.cpp
index 50af881..c67159e 100644
--- a/neuralnetworks/1.2/utils/src/ExecutionBurstServer.cpp
+++ b/neuralnetworks/1.2/utils/src/ExecutionBurstServer.cpp
@@ -259,7 +259,7 @@
     nn::MeasureTiming canonicalMeasure = NN_TRY(makeExecutionFailure(nn::convert(measure)));
 
     const auto [outputShapes, timing] =
-            NN_TRY(mBurstExecutor->execute(canonicalRequest, canonicalMeasure));
+            NN_TRY(mBurstExecutor->execute(canonicalRequest, canonicalMeasure, {}, {}));
 
     return std::make_pair(NN_TRY(makeExecutionFailure(convert(outputShapes))),
                           NN_TRY(makeExecutionFailure(convert(timing))));
diff --git a/neuralnetworks/1.2/utils/src/PreparedModel.cpp b/neuralnetworks/1.2/utils/src/PreparedModel.cpp
index 71a4ea8..b209a44 100644
--- a/neuralnetworks/1.2/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.2/utils/src/PreparedModel.cpp
@@ -122,10 +122,12 @@
 
 nn::GeneralResult<nn::SharedBurst> PreparedModel::configureExecutionBurst() const {
     auto self = shared_from_this();
-    auto fallback = [preparedModel = std::move(self)](const nn::Request& request,
-                                                      nn::MeasureTiming measure)
+    auto fallback = [preparedModel = std::move(self)](
+                            const nn::Request& request, nn::MeasureTiming measure,
+                            const nn::OptionalTimePoint& deadline,
+                            const nn::OptionalDuration& loopTimeoutDuration)
             -> nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> {
-        return preparedModel->execute(request, measure, {}, {});
+        return preparedModel->execute(request, measure, deadline, loopTimeoutDuration);
     };
     const auto pollingTimeWindow = getBurstControllerPollingTimeWindow();
     return ExecutionBurstController::create(kPreparedModel, std::move(fallback), pollingTimeWindow);
diff --git a/neuralnetworks/1.2/utils/test/MockBurstContext.h b/neuralnetworks/1.2/utils/test/MockBurstContext.h
new file mode 100644
index 0000000..e364178
--- /dev/null
+++ b/neuralnetworks/1.2/utils/test/MockBurstContext.h
@@ -0,0 +1,36 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_BURST_CONTEXT_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_BURST_CONTEXT_H
+
+#include <android/hardware/neuralnetworks/1.2/IBurstContext.h>
+#include <gmock/gmock.h>
+#include <gtest/gtest.h>
+#include <hidl/HidlSupport.h>
+#include <hidl/Status.h>
+
+namespace android::hardware::neuralnetworks::V1_2::utils {
+
+class MockBurstContext final : public IBurstContext {
+  public:
+    // V1_2 methods below.
+    MOCK_METHOD(Return<void>, freeMemory, (int32_t slot), (override));
+};
+
+}  // namespace android::hardware::neuralnetworks::V1_2::utils
+
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_BURST_CONTEXT_H
diff --git a/neuralnetworks/1.2/utils/test/MockDevice.h b/neuralnetworks/1.2/utils/test/MockDevice.h
index b459943..0d34c70 100644
--- a/neuralnetworks/1.2/utils/test/MockDevice.h
+++ b/neuralnetworks/1.2/utils/test/MockDevice.h
@@ -14,8 +14,8 @@
  * limitations under the License.
  */
 
-#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_DEVICE
-#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_DEVICE
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_DEVICE_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_DEVICE_H
 
 #include <android/hardware/neuralnetworks/1.2/IDevice.h>
 #include <gmock/gmock.h>
@@ -114,4 +114,4 @@
 
 }  // namespace android::hardware::neuralnetworks::V1_2::utils
 
-#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_DEVICE
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_DEVICE_H
diff --git a/neuralnetworks/1.2/utils/test/MockPreparedModel.h b/neuralnetworks/1.2/utils/test/MockPreparedModel.h
index f5fd1f3..bd81712 100644
--- a/neuralnetworks/1.2/utils/test/MockPreparedModel.h
+++ b/neuralnetworks/1.2/utils/test/MockPreparedModel.h
@@ -14,8 +14,8 @@
  * limitations under the License.
  */
 
-#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_PREPARED_MODEL
-#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_PREPARED_MODEL
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_PREPARED_MODEL_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_PREPARED_MODEL_H
 
 #include <android/hardware/neuralnetworks/1.2/IPreparedModel.h>
 #include <gmock/gmock.h>
@@ -98,4 +98,4 @@
 
 }  // namespace android::hardware::neuralnetworks::V1_2::utils
 
-#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_PREPARED_MODEL
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_PREPARED_MODEL_H
diff --git a/neuralnetworks/1.2/utils/test/PreparedModelTest.cpp b/neuralnetworks/1.2/utils/test/PreparedModelTest.cpp
index 5062ac9..d297b1a 100644
--- a/neuralnetworks/1.2/utils/test/PreparedModelTest.cpp
+++ b/neuralnetworks/1.2/utils/test/PreparedModelTest.cpp
@@ -16,6 +16,8 @@
 
 #include "MockPreparedModel.h"
 
+#include "MockBurstContext.h"
+
 #include <android/hardware/neuralnetworks/1.2/IExecutionCallback.h>
 #include <gmock/gmock.h>
 #include <gtest/gtest.h>
@@ -67,6 +69,17 @@
         return launchStatus;
     };
 }
+auto makeConfigureExecutionBurstReturn(V1_0::ErrorStatus status,
+                                       const sp<MockBurstContext>& burstContext) {
+    return [status, burstContext](
+                   const sp<V1_2::IBurstCallback>& /*callback*/,
+                   const MQDescriptorSync<V1_2::FmqRequestDatum>& /*requestChannel*/,
+                   const MQDescriptorSync<V1_2::FmqResultDatum>& /*resultChannel*/,
+                   V1_2::IPreparedModel::configureExecutionBurst_cb cb) -> hardware::Return<void> {
+        cb(status, burstContext);
+        return hardware::Void();
+    };
+}
 
 std::function<hardware::Status()> makeTransportFailure(status_t status) {
     return [status] { return hardware::Status::fromStatusT(status); };
@@ -321,7 +334,76 @@
     EXPECT_EQ(result.error().code, nn::ErrorStatus::GENERAL_FAILURE);
 }
 
-// TODO: test burst execution if/when it is added to nn::IPreparedModel.
+TEST(PreparedModelTest, configureExecutionBurst) {
+    // setup test
+    const auto mockPreparedModel = MockPreparedModel::create();
+    const auto mockBurstContext = sp<MockBurstContext>::make();
+    EXPECT_CALL(*mockPreparedModel, configureExecutionBurst(_, _, _, _))
+            .Times(1)
+            .WillOnce(makeConfigureExecutionBurstReturn(V1_0::ErrorStatus::NONE, mockBurstContext));
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+
+    // run test
+    const auto result = preparedModel->configureExecutionBurst();
+
+    // verify result
+    ASSERT_TRUE(result.has_value())
+            << "Failed with " << result.error().code << ": " << result.error().message;
+    EXPECT_NE(result.value(), nullptr);
+}
+
+TEST(PreparedModelTest, configureExecutionBurstError) {
+    // setup test
+    const auto mockPreparedModel = MockPreparedModel::create();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+    EXPECT_CALL(*mockPreparedModel, configureExecutionBurst(_, _, _, _))
+            .Times(1)
+            .WillOnce(
+                    makeConfigureExecutionBurstReturn(V1_0::ErrorStatus::GENERAL_FAILURE, nullptr));
+
+    // run test
+    const auto result = preparedModel->configureExecutionBurst();
+
+    // verify result
+    ASSERT_FALSE(result.has_value());
+    EXPECT_EQ(result.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, configureExecutionBurstTransportFailure) {
+    // setup test
+    const auto mockPreparedModel = MockPreparedModel::create();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+    EXPECT_CALL(*mockPreparedModel, configureExecutionBurst(_, _, _, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeGeneralTransportFailure));
+
+    // run test
+    const auto result = preparedModel->configureExecutionBurst();
+
+    // verify result
+    ASSERT_FALSE(result.has_value());
+    EXPECT_EQ(result.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, configureExecutionBurstDeadObject) {
+    // setup test
+    const auto mockPreparedModel = MockPreparedModel::create();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+    EXPECT_CALL(*mockPreparedModel, configureExecutionBurst(_, _, _, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeDeadObjectFailure));
+
+    // run test
+    const auto result = preparedModel->configureExecutionBurst();
+
+    // verify result
+    ASSERT_FALSE(result.has_value());
+    EXPECT_EQ(result.error().code, nn::ErrorStatus::DEAD_OBJECT);
+}
 
 TEST(PreparedModelTest, getUnderlyingResource) {
     // setup test