Amazon AWS Certified Solutions Architect - Associate SAA-C03 Bundle

The option Convert records to compressed Parquet and partition by common filters addresses a separate condition: ingested CSV queries scan enormous bytes for a few required columns. Columnar compression and pruning reduce query I/O. The actual requirement is a CSV field changes type and Glue jobs fail silently. Recommended corrective action: Add schema validation and error quarantine before publishing transformed data. Explicit validation protects downstream table expectations.

Configure Lake Formation and S3/IAM permissions for governed access would help if different analysts must not access each other's datasets in a shared lake. Data lake governance is an additional authorization layer. That is not the symptom described here: a CSV field changes type and Glue jobs fail silently. The matching response is Add schema validation and error quarantine before publishing transformed data, because explicit validation protects downstream table expectations.

For the alternative failure raw records land in S3 but analysts cannot discover table schema, the control Create Glue Data Catalog tables using crawlers or defined schemas is relevant: catalog metadata exposes datasets to query engines. Here the evidence instead is a CSV field changes type and Glue jobs fail silently. The selected technical mechanism is Add schema validation and error quarantine before publishing transformed data: explicit validation protects downstream table expectations.

Configure adequate Kinesis Data Streams retention within service limits would help if the stream has a seven-day compliance replay requirement. Retained stream data permits bounded replay. That is not the symptom described here: hot device IDs overload a single Kinesis shard. The matching response is Spread partition keys or increase effective stream capacity, because partition-key distribution controls per-shard load.

For the alternative failure a Kinesis consumer must replay from a committed offset after a crash, the control Persist checkpoints and use suitable shard iterators is relevant: checkpointing enables restart from known progress. Here the evidence instead is hot device IDs overload a single Kinesis shard. The selected technical mechanism is Spread partition keys or increase effective stream capacity: partition-key distribution controls per-shard load.

Route malformed records to an error/dead-letter destination with diagnostics solves a different operational problem where processing errors must not discard malformed events. Failure isolation retains evidence for debugging. It does not directly address hot device IDs overload a single Kinesis shard. The case calls for Spread partition keys or increase effective stream capacity, since partition-key distribution controls per-shard load.

Configure Firehose delivery stream buffering and destination solves a different operational problem where a delivery service needs S3 files rather than programmatic Kinesis consumers. Firehose batches and delivers streaming records to S3. It does not directly address a Kinesis consumer must replay from a committed offset after a crash. The case calls for Persist checkpoints and use suitable shard iterators, since checkpointing enables restart from known progress.

The competing option Route malformed records to an error/dead-letter destination with diagnostics would be useful when processing errors must not discard malformed events. Failure isolation retains evidence for debugging. The present issue is a Kinesis consumer must replay from a committed offset after a crash; it is more directly addressed by Persist checkpoints and use suitable shard iterators. Checkpointing enables restart from known progress.

The option Spread partition keys or increase effective stream capacity addresses a separate condition: hot device IDs overload a single Kinesis shard. Partition-key distribution controls per-shard load. The actual requirement is a Kinesis consumer must replay from a committed offset after a crash. Recommended corrective action: Persist checkpoints and use suitable shard iterators. Checkpointing enables restart from known progress.

Route malformed records to an error/dead-letter destination with diagnostics solves a different operational problem where processing errors must not discard malformed events. Failure isolation retains evidence for debugging. It does not directly address the stream has a seven-day compliance replay requirement. The case calls for Configure adequate Kinesis Data Streams retention within service limits, since retained stream data permits bounded replay.

The competing option Configure Firehose delivery stream buffering and destination would be useful when a delivery service needs S3 files rather than programmatic Kinesis consumers. Firehose batches and delivers streaming records to S3. The present issue is the stream has a seven-day compliance replay requirement; it is more directly addressed by Configure adequate Kinesis Data Streams retention within service limits. Retained stream data permits bounded replay.

Spread partition keys or increase effective stream capacity would help if hot device IDs overload a single Kinesis shard. Partition-key distribution controls per-shard load. That is not the symptom described here: the stream has a seven-day compliance replay requirement. The matching response is Configure adequate Kinesis Data Streams retention within service limits, because retained stream data permits bounded replay.

The competing option Route malformed records to an error/dead-letter destination with diagnostics would be useful when processing errors must not discard malformed events. Failure isolation retains evidence for debugging. The present issue is a delivery service needs S3 files rather than programmatic Kinesis consumers; it is more directly addressed by Configure Firehose delivery stream buffering and destination. Firehose batches and delivers streaming records to S3.

Configure adequate Kinesis Data Streams retention within service limits would help if the stream has a seven-day compliance replay requirement. Retained stream data permits bounded replay. That is not the symptom described here: a delivery service needs S3 files rather than programmatic Kinesis consumers. The matching response is Configure Firehose delivery stream buffering and destination, because firehose batches and delivers streaming records to S3.

For the alternative failure a Kinesis consumer must replay from a committed offset after a crash, the control Persist checkpoints and use suitable shard iterators is relevant: checkpointing enables restart from known progress. Here the evidence instead is a delivery service needs S3 files rather than programmatic Kinesis consumers. The selected technical mechanism is Configure Firehose delivery stream buffering and destination: firehose batches and delivers streaming records to S3.

The option Configure adequate Kinesis Data Streams retention within service limits addresses a separate condition: the stream has a seven-day compliance replay requirement. Retained stream data permits bounded replay. The actual requirement is processing errors must not discard malformed events. Recommended corrective action: Route malformed records to an error/dead-letter destination with diagnostics. Failure isolation retains evidence for debugging.

Persist checkpoints and use suitable shard iterators would help if a Kinesis consumer must replay from a committed offset after a crash. Checkpointing enables restart from known progress. That is not the symptom described here: processing errors must not discard malformed events. The matching response is Route malformed records to an error/dead-letter destination with diagnostics, because failure isolation retains evidence for debugging.

For the alternative failure hot device IDs overload a single Kinesis shard, the control Spread partition keys or increase effective stream capacity is relevant: partition-key distribution controls per-shard load. Here the evidence instead is processing errors must not discard malformed events. The selected technical mechanism is Route malformed records to an error/dead-letter destination with diagnostics: failure isolation retains evidence for debugging.

For the alternative failure transfer completeness must be proven after a migration, the control Run DataSync verification and reconcile object counts/checksums as applicable is relevant: verified transfer reduces silent migration omissions. Here the evidence instead is a data center has a high-bandwidth network path and millions of files to synchronize. The selected technical mechanism is Use AWS DataSync over supported network connectivity: dataSync efficiently copies files and metadata.

Reserve a suitable AWS Data Transfer Terminal slot and securely upload data from the brought storage devices solves a different operational problem where a new AWS customer can bring petabyte-scale disk drives to an AWS high-speed physical upload site but cannot order new Snowball devices. AWS Data Transfer Terminal provides a high-throughput upload facility for new migration customers. It does not directly address a data center has a high-bandwidth network path and millions of files to synchronize. The case calls for Use AWS DataSync over supported network connectivity, since dataSync efficiently copies files and metadata.

The competing option Use AWS Storage Gateway File Gateway would be useful when existing on-prem apps need a local cache backed by cloud object storage. File Gateway caches file access with S3-backed storage. The present issue is a data center has a high-bandwidth network path and millions of files to synchronize; it is more directly addressed by Use AWS DataSync over supported network connectivity. DataSync efficiently copies files and metadata.

For the alternative failure transfer completeness must be proven after a migration, the control Run DataSync verification and reconcile object counts/checksums as applicable is relevant: verified transfer reduces silent migration omissions. Here the evidence instead is a new AWS customer can bring petabyte-scale disk drives to an AWS high-speed physical upload site but cannot order new Snowball devices. The selected technical mechanism is Reserve a suitable AWS Data Transfer Terminal slot and securely upload data from the brought storage devices: aWS Data Transfer Terminal provides a high-throughput upload facility for new migration customers.

Use AWS Storage Gateway File Gateway solves a different operational problem where existing on-prem apps need a local cache backed by cloud object storage. File Gateway caches file access with S3-backed storage. It does not directly address a new AWS customer can bring petabyte-scale disk drives to an AWS high-speed physical upload site but cannot order new Snowball devices. The case calls for Reserve a suitable AWS Data Transfer Terminal slot and securely upload data from the brought storage devices, since aWS Data Transfer Terminal provides a high-throughput upload facility for new migration customers.

The competing option Configure Transfer Family identity mappings and restricted home-directory storage permissions would be useful when managed SFTP partners must upload only to individually assigned storage prefixes. SFTP user identity mappings restrict each configured user backend path. The present issue is a new AWS customer can bring petabyte-scale disk drives to an AWS high-speed physical upload site but cannot order new Snowball devices; it is more directly addressed by Reserve a suitable AWS Data Transfer Terminal slot and securely upload data from the brought storage devices. AWS Data Transfer Terminal provides a high-throughput upload facility for new migration customers.

Run DataSync verification and reconcile object counts/checksums as applicable solves a different operational problem where transfer completeness must be proven after a migration. Verified transfer reduces silent migration omissions. It does not directly address managed SFTP partners must upload only to individually assigned storage prefixes. The case calls for Configure Transfer Family identity mappings and restricted home-directory storage permissions, since sFTP user identity mappings restrict each configured user backend path.

The option Use AWS DataSync over supported network connectivity addresses a separate condition: a data center has a high-bandwidth network path and millions of files to synchronize. DataSync efficiently copies files and metadata. The actual requirement is managed SFTP partners must upload only to individually assigned storage prefixes. Recommended corrective action: Configure Transfer Family identity mappings and restricted home-directory storage permissions. SFTP user identity mappings restrict each configured user backend path.

Use AWS Storage Gateway File Gateway would help if existing on-prem apps need a local cache backed by cloud object storage. File Gateway caches file access with S3-backed storage. That is not the symptom described here: managed SFTP partners must upload only to individually assigned storage prefixes. The matching response is Configure Transfer Family identity mappings and restricted home-directory storage permissions, because sFTP user identity mappings restrict each configured user backend path.

The competing option Reserve a suitable AWS Data Transfer Terminal slot and securely upload data from the brought storage devices would be useful when a new AWS customer can bring petabyte-scale disk drives to an AWS high-speed physical upload site but cannot order new Snowball devices. AWS Data Transfer Terminal provides a high-throughput upload facility for new migration customers. The present issue is existing on-prem apps need a local cache backed by cloud object storage; it is more directly addressed by Use AWS Storage Gateway File Gateway. File Gateway caches file access with S3-backed storage.

The option Configure Transfer Family identity mappings and restricted home-directory storage permissions addresses a separate condition: managed SFTP partners must upload only to individually assigned storage prefixes. SFTP user identity mappings restrict each configured user backend path. The actual requirement is existing on-prem apps need a local cache backed by cloud object storage. Recommended corrective action: Use AWS Storage Gateway File Gateway. File Gateway caches file access with S3-backed storage.

For the alternative failure a data center has a high-bandwidth network path and millions of files to synchronize, the control Use AWS DataSync over supported network connectivity is relevant: dataSync efficiently copies files and metadata. Here the evidence instead is existing on-prem apps need a local cache backed by cloud object storage. The selected technical mechanism is Use AWS Storage Gateway File Gateway: file Gateway caches file access with S3-backed storage.

The option Use AWS DataSync over supported network connectivity addresses a separate condition: a data center has a high-bandwidth network path and millions of files to synchronize. DataSync efficiently copies files and metadata. The actual requirement is transfer completeness must be proven after a migration. Recommended corrective action: Run DataSync verification and reconcile object counts/checksums as applicable. Verified transfer reduces silent migration omissions.

For the alternative failure managed SFTP partners must upload only to individually assigned storage prefixes, the control Configure Transfer Family identity mappings and restricted home-directory storage permissions is relevant: sFTP user identity mappings restrict each configured user backend path. Here the evidence instead is transfer completeness must be proven after a migration. The selected technical mechanism is Run DataSync verification and reconcile object counts/checksums as applicable: verified transfer reduces silent migration omissions.

Use AWS Storage Gateway File Gateway solves a different operational problem where existing on-prem apps need a local cache backed by cloud object storage. File Gateway caches file access with S3-backed storage. It does not directly address transfer completeness must be proven after a migration. The case calls for Run DataSync verification and reconcile object counts/checksums as applicable, since verified transfer reduces silent migration omissions.